15.3.1.12 Navigation Issues

Tsai, W.H., and Chen, Y.C.,
Adaptive Navigation of Automated Vehicles by Image Analysis Techniques,
SMC(16), 1986, pp. 730-740. BibRef 8600

Kosaka, A.[Akio], Kak, A.C.[Avinash C.],
Fast Vision-Guided Mobile Robot Navigation Using Model-Based Reasoning and Prediction of Uncertainties,
CVGIP(56), No. 3, November 1992, pp. 271-329.
Elsevier DOI BibRef 9211
And: figure erratum: CVGIP(57), No. 2, March 1993, pp. 263.
DOI Link A long paper describing a hallway navigation system using basic line structures to predict the hallway path.
HTML Version. BibRef

Sugihara, K.[Kokichi],
Some Location Properties for Robot Navigation Using a Single Camera,
CVGIP(42), No. 1, April 1988, pp. 112-129.
Elsevier DOI BibRef 8804

Waxman, A.M., Le Moigne, J.J., Davis, L.S., Srinivasan, B., Kushner, T.R., Liang, E., Siddalingaiah, T.,
A Visual Navigation System for Automonous Land Vehicles,
RA(3), 1987, pp. 124-141. BibRef 8700

Davis, L.S., DeMenthon, D.F., Gajulapalli, R., Kushner, T.R., Le Moigne, J.J., and Veatch, P.,
Vision-Based Navigation: A Status Report,
DARPA87(153-169). The system looks a bit like the CMU system, and a discussion of the road detection and following algorithms. BibRef 8700

Kriegman, D.J., Triendl, E., and Binford, T.O.,
Stereo Vision and Navigation in Buildings for Mobile Robots,
RA(5), No. 6, December, 1989, pp. 792-803. BibRef 8912
Earlier:
A mobile robot: Sensing, planning and locomotion,
CRA87(402-408). Using generic models for navigation. BibRef

Triendl, E., and Kriegman, D.J.,
Vision and Visual Exploration for the Stanford Mobile Robot,
DARPA87(407-416). Reports on the results of an actual run of the inside robot. More than just a system proposal. BibRef 8700

Kriegman, D.J.[David J.], Binford, T.O., and Sumanaweera, T.,
Generic Models for Robot Navigation,
DARPA88(453-460). BibRef 8800
And: A1, A2 only: CRA88(746-751). Generic models for robot navigation BibRef

Dreschler-Fischer, L.S.[Leonie S.], and Triendl, E.E.,
The ASTERIX System: A Feature Based Approach to the Correspondence Problem,
DARPA84(300-301). BibRef 8400

Rosenblatt, J.K., Thorpe, C.E.,
A Behavior-based Architecture for Mobile Navigation,
NAVLAB96(Chapter 2). BibRef 9600

Langer, D., Rosenblatt, J.K., Hebert, M.,
A Behavior-Based System for Off-Road Navigation,
RA(10), 1994, pp. 776-783. BibRef 9400

Land, M.F., Lee, D.N.,
Where We Look When We Steer,
Nature(369), 1994, pp. 742-744. BibRef 9400

Payton, D.W., Rosenblatt, J.K., Keirsey, D.M.,
Plan-Guided Reaction,
SMC(20), 1990, pp. 1370-1382. BibRef 9000
Earlier: A3, A1, A2:
Autonomous Navigation in Cross-Country Terrain,
DARPA88(411-416). Range Data, Registration. Navigation by finding a flat path through the terrain using the ERIM range scanner. BibRef

Hebert, M.[Martial], and Stentz, A.[Anthony],
A Complete Navigation System for Goal Acquisition in Unknown Environments,
ARPA94(II:1083-1092). BibRef 9400

Weisbin, C.R., de Saussure, G., Einstein, J.R., Pin, F.G., and Heer, E.,
Autonomous Mobile Robot Navigation and Learning,
Computer(22), No. 6, June 1989, pp. 29-35. BibRef 8906

Dulimarta, H.S.[Hansye S.], Jain, A.K.[Anil K.],
A Client/Server Control Architecture for Robot Navigation,
PR(29), No. 8, August 1996, pp. 1259-1284.
Elsevier DOI 9608
BibRef

Hamada, T.[Takahashi],
Vision, Action, and Navigation in Animals,
VisNav93(xx-yy). Clues from animals for computer control. BibRef 9300

Dean, T.[Thomas], and Marion, J.L.[Jean-Luc],
Planning and Navigation in Stochastic Environments,
VisNav93(xx-yy). BibRef 9300

Kam, M., Zhu, X.X., Kalata, P.,
Sensor Fusion for Mobile Robot Navigation,
PIEEE(85), No. 1, January 1997, pp. 108-119. 9701
BibRef

Khana, G.N.[Gul N.], Gillies, D.F.[Duncan F.],
Vision-Based Navigation System for an Endoscope,
IVC(14), No. 10, December 1996, pp. 763-772.
Elsevier DOI 9612
BibRef

Kiryati, N., Bruckstein, A.M.,
On Navigating Between Friends and Foes,
PAMI(13), No. 6, June 1991, pp. 602-606.
IEEE DOI BibRef 9106

Slack, M.G.,
Navigation Templates: Mediating Qualitative Guidance and Quantitative Control in Mobile Robots,
SMC(23), 1993, pp. 452-466. BibRef 9300

Sharma, R., Mount, D.M., Aloimonos, Y.,
Probabilistic Analysis of Some Navigation Strategies in a Dynamic Environment,
SMC(23), 1993, pp. 1465-1474. BibRef 9300

Penna, M.A., Wu, J.,
Models for Map Building and Navigation,
SMC(23), 1993, pp. 1276-1301. BibRef 9300

Rimon, E., Koditschek, D.E.,
Exact Robot Navigation Using Artificial Potential Functions,
RA(8), 1992, pp. 501-518. BibRef 9200

Oommen, B.J., Iyengar, S.S., Rao, N.S.V., Kashyap, R.L.,
Robot Navigation in Unknown Terrain Using Learned Visibility Graphs. Part I: The Disjoint Convex Obstacle Case,
RA(3), 1987, pp. 672-681. BibRef 8700

Rao, N.S.V., Stoltzfus, N., Iyengar, S.S.,
A 'Retraction' Method for Learned Navigation in Unknown Terrains for a Circular Robot,
RA(7), 1991, pp. 699-707. BibRef 9100

Endo, Y., MacKenzie, D.C., Arkin, R.C.,
Usability evaluation of high-level user assistance for robot mission specification,
SMC-C(34), No. 2, May 2004, pp. 168-180.
IEEE Abstract. 0407
BibRef

Arkin, R.C., MacKenzie, D.C.,
Temporal Coordination of Perceptual Algorithms for Mobile Robot Navigation,
RA(10), No. 3, June 1994, pp. 276-286. BibRef 9406

Arkin, R.C., Murphy, R.R.,
Autonomous Navigation in a Manufacturing Environment,
RA(6), 1990, pp. 445-454. BibRef 9000

Arkin, R.C., Riseman, E.M., and Hanson, A.R.,
Visual Strategies for Mobile Robot Navigation,
CVWS87(176-181). Visions applied to robot navigation. BibRef 8700

Arkin, R.C.[Ronald C.], Riseman, E.M.[Edward M.], and Hanson, A.R.[Allen R.],
AURA: An Architecture for Vision-Based Robot Navigation,
COINS-TR-88-7, May 1988. BibRef 8805

Rao, N.S.V.,
Robot Navigation in Unknown Generalized Polygonal Terrains Using Vision Sensors,
SMC(25), No. 6, June 1995, pp. 947-962. BibRef 9506

Gat, E., Desai, R., Ivlev, R., Loch, J., Miller, D.P.,
Behavior Control for Robotic Exploration of Planetary Surfaces,
RA(10), 1994, pp. 490-503. BibRef 9400

Fok, K.Y., Kabuka, M.R.,
An Automatic Navigation System for Vision Guided Vehicles Using a Double Heuristic and a Finite State Machine,
RA(7), 1991, pp. 181-189. BibRef 9100

Cox, I.J.,
BLANCHE: An Experiment in Guidance and Navigation of an Autonomous Robot Vehicle,
RA(7), 1991, pp. 193-204. BibRef 9100

Beloglazov, I.N., Kazarin, S.N.,
A Stereoscopic Navigation System,
JCSSI(36), No. 6, November/December 1997, pp. 846-868. 9712
Stereo, System. BibRef

Kamon, I., Rimon, E., Rivlin, E.,
Tangentbug: A Range-Sensor-Based Navigation Algorithm,
IJRR(17), No. 9, September 1998, pp. 934-953. 9809
BibRef

Baten, S., Lützeler, M., Dickmanns, E.D., Mandelbaum, R., Burt, P.J.,
Techniques for Autonomous, Off-Road Navigation,
IEEE_Expert(13), No. 6, November/December 1998, pp. 57-65. 9812
BibRef

Araujo, R., de Almeida, A.T.,
Learning Sensor-Based Navigation of a Real Mobile Robot in Unknown Worlds,
SMC-B(29), No. 2, April 1999, pp. 164.
IEEE Top Reference. BibRef 9904

Xu, W.L., Tso, S.K.,
Sensor-Based Fuzzy Reactive Navigation of a Mobile Robot Through Local Target Switching,
SMC-C(29), No. 3, August 1999, pp. 451.
IEEE Top Reference. BibRef 9908

Yung, N.H.C., Ye, C.,
An Intelligent Mobile Vehicle Navigator Based on Fuzzy Logic and Reinforcement Learning,
SMC-B(29), No. 2, April 1999, pp. 314.
IEEE Top Reference. BibRef 9904

Lux, P.W., Schaefer, C.H.,
Range imaging for autonomous navigation of robotic land vehicles,
SP(22), No. 3, 1991, pp. 299-311. BibRef 9100

Ryu, B.S., Yang, H.S.,
Integration of Reactive Behaviors and Enhanced Topological Map for Robust Mobile Robot Navigation,
SMC-A(29), No. 5, September 1999, pp. 474.
IEEE Top Reference. BibRef 9909

Kundur, S.R.[Sridhar R.], Raviv, D.[Daniel],
Active vision-based control schemes for autonomous navigation tasks,
PR(33), No. 2, February 2000, pp. 295-308.
Elsevier DOI 0001
BibRef
Earlier:
Vision-Based Fuzzy Controllers for Navigation Tasks,
SCV95(347-352).
IEEE DOI Florida Atlantic University. BibRef

Kundur, S.R.[Sridhar R.], Raviv, D.[Daniel],
Novel Active Vision-Based Visual Threat Cue for Autonomous Navigation Tasks,
CVIU(73), No. 2, February 1999, pp. 169-182.
DOI Link BibRef 9902
Earlier: CVPR96(606-612).
IEEE DOI BibRef
And:
An Image-Based Visual Threat Cue for Autonomous Navigation,
SCV95(527-532).
IEEE DOI Florida Atlantic University. BibRef

Kundur, S.R.[Sridhar R.], Raviv, D.[Daniel], Kent, E.,
An Image Based Visual Motion Cue for Autonomous Navigation,
CVPR97(7-14).
IEEE DOI 9704
Visual threat collision avoidance textures. BibRef

Kundur, S.R.[Sridhar R.], Raviv, D.[Daniel],
A Vision-Based Pragmatic Strategy for Autonomous Navigation,
PR(31), No. 9, September 1998, pp. 1221-1239.
Elsevier DOI 9808
BibRef

Horng, J.H.[Ji-Hwei], Li, J.T.[Johnny Tienyi],
Vehicle path planning by using adaptive constrained distance transformation,
PR(35), No. 6, June 2002, pp. 1327-1337.
Elsevier DOI 0203
BibRef

Miura, J., Itoh, M., Shirai, Y.,
Toward vision-based intelligent navigator: its concept and prototype,
ITS(3), No. 2, June 2002, pp. 136-146.
IEEE DOI
PDF File. 0402
BibRef

Duckham, M.[Matt], Kulik, L.[Lars], Worboys, M.[Michael],
Imprecise Navigation,
GeoInfo(7), No. 2, June 2003, pp. 79-94.
DOI Link 0307
BibRef

Barnes, N.M., and Liu, Z.Q.,
Vision guided circumnavigating autonomous robots,
PRAI(14), No. 6, 2000, pp. 689-714.
PDF File. BibRef 0001

Kim, S., Lewis, M.E., White, C.C.,
Optimal Vehicle Routing With Real-Time Traffic Information,
ITS(6), No. 2, June 2005, pp. 178-188.
IEEE DOI 0506
BibRef

Kim, S., Lewis, M.E., White, C.C.,
State Space Reduction for Nonstationary Stochastic Shortest Path Problems With Real-Time Traffic Information,
ITS(6), No. 3, September 2005, pp. 273-284.
IEEE DOI 0509
BibRef

Abdel-Aty, M.A., Fathy-Abdalla, M.,
Examination of Multiple Mode/Route-Choice Paradigms Under ATIS,
ITS(7), No. 3, September 2006, pp. 332-348.
IEEE DOI 0609
BibRef

Caulfield, B., O'Mahony, M.,
An Examination of the Public Transport Information Requirements of Users,
ITS(8), No. 1, March 2007, pp. 21-30.
IEEE DOI 0703
BibRef

Rehrl, K., Bruntsch, S., Mentz, H.J.,
Assisting Multimodal Travelers: Design and Prototypical Implementation of a Personal Travel Companion,
ITS(8), No. 1, March 2007, pp. 31-42.
IEEE DOI 0703
BibRef

Chen, Y., Bell, M.G.H., Bogenberger, K.,
Reliable Pretrip Multipath Planning and Dynamic Adaptation for a Centralized Road Navigation System,
ITS(8), No. 1, March 2007, pp. 14-20.
IEEE DOI 0703
BibRef

Millonig, A., Schechtner, K.,
Developing Landmark-Based Pedestrian-Navigation Systems,
ITS(8), No. 1, March 2007, pp. 43-49.
IEEE DOI 0703
BibRef

Ye, C.[Cang],
Navigating a Mobile Robot by a Traversability Field Histogram,
SMC-B(37), No. 2, April 2007, pp. 361-372.
IEEE DOI 0704
BibRef

Shi, D., Collins, E.G., Dunlap, D.,
Robot Navigation in Cluttered 3-D Environments Using Preference-Based Fuzzy Behaviors,
SMC-B(37), No. 6, December 2007, pp. 1486-1499.
IEEE DOI 0711
For underwater and aerial navigation, not planar, surface. BibRef

Stolkin, R.[Rustam], Greig, A.[Alistair], Hodgetts, M.[Mark], Gilby, J.[John],
An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility,
IVC(26), No. 4, April 2008, pp. 480-495.
Elsevier DOI 0711
BibRef
Earlier: A1, A3, A2, Only:
An EM / E-MRF Strategy for Underwater Navigation,
BMVC00(xx-yy).
PDF File. 0009
Tracking; Segmentation; Pose estimation; Markov Random Field; Expectation Maximisation; MRF; EM; Poor visibility; Robot vision BibRef

Segvic, S.[Sinisa], Remazeilles, A.[Anthony], Diosi, A.[Albert], Chaumette, F.[Francois],
A mapping and localization framework for scalable appearance-based navigation,
CVIU(113), No. 2, February 2009, pp. 172-187.
Elsevier DOI 0901
BibRef
Earlier:
Large scale vision-based navigation without an accurate global reconstruction,
CVPR07(1-8).
IEEE DOI 0706
Visual tracking; Point transfer; Appearance-based navigation; Structure from motion BibRef

Mastrogiovanni, F., Sgorbissa, A., Zaccaria, R.,
Robust Navigation in an Unknown Environment With Minimal Sensing and Representation,
SMC-B(39), No. 1, February 2009, pp. 212-229.
IEEE DOI 0902
BibRef

Poncela, A., Urdiales García, C.[Cristina], Perez, E.J., Sandoval Hernández, F.[Francisco],
A New Efficiency-Weighted Strategy for Continuous Human/Robot Cooperation in Navigation,
SMC-A(39), No. 3, May 2009, pp. 486-500.
IEEE DOI 0904
BibRef

Xu, D., Zhao, D., Yi, J., Tan, X.,
Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach,
SMC-B(39), No. 3, June 2009, pp. 788-799.
IEEE DOI 0904
BibRef

Zhang, F., Xi, Y., Lin, Z., Chen, W.,
Constrained Motion Model of Mobile Robots and Its Applications,
SMC-B(39), No. 3, June 2009, pp. 773-787.
IEEE DOI 0904
BibRef

Fang, H., Yang, M., Yang, R., Wang, C.,
Ground-Texture-Based Localization for Intelligent Vehicles,
ITS(10), No. 3, September 2009, pp. 463-468.
IEEE DOI 0909
BibRef

Grisetti, G., Stachniss, C., Burgard, W.,
Nonlinear Constraint Network Optimization for Efficient Map Learning,
ITS(10), No. 3, September 2009, pp. 428-439.
IEEE DOI 0909
BibRef

Mallot, H.A.[Hanspeter A.], Basten, K.[Kai],
Embodied spatial cognition: Biological and artificial systems,
IVC(27), No. 11, 2 October 2009, pp. 1658-1670,.
Elsevier DOI 0909
Theory of spatial cognition for navigation issues. Spatial cognition; Spatial memory; Landmark use; Graph representations; Embodiment BibRef

Randeniya, D.I.B., Sarkar, S., Gunaratne, M.,
Vision-IMU Integration Using a Slow-Frame-Rate Monocular Vision System in an Actual Roadway Setting,
ITS(11), No. 2, June 2010, pp. 256-266.
IEEE DOI 1007
Vision and intertail. BibRef

Bullo, F., Frazzoli, E., Pavone, M., Savla, K., Smith, S.L.,
Dynamic Vehicle Routing for Robotic Systems,
PIEEE(99), No. 9, September 2011, pp. 1482-1504.
IEEE DOI 1109
BibRef

Chen, C.L.P., Zhou, J., Zhao, W.,
A Real-Time Vehicle Navigation Algorithm in Sensor Network Environments,
ITS(13), No. 4, December 2012, pp. 1657-1666.
IEEE DOI 1212
BibRef

Boriboonsomsin, K., Barth, M.J., Zhu, W., Vu, A.,
Eco-Routing Navigation System Based on Multisource Historical and Real-Time Traffic Information,
ITS(13), No. 4, December 2012, pp. 1694-1704.
IEEE DOI 1212
BibRef

Eling, C.[Christian], Klingbeil, L.[Lasse], Wieland, M.[Markus], Kuhlmann, H.[Heiner],
Direct Georeferencing of Micro Aerial Vehicles - System Design, System Calibration and First Evaluation Tests,
PFG(2014), No. 4, 2014, pp. 227-237.
DOI Link 1410
BibRef
Earlier:
A Precise Position and Attitude Determination System for Lightweight Unmanned Aerial Vehicles,
UAV-g13(113-118).
DOI Link 1311
BibRef

Eling, C.[Christian], Wieland, M.[Markus], Hess, C., Klingbeil, L.[Lasse], Kuhlmann, H.[Heiner],
Development and Evaluation of a UAV Based Mapping System for Remote Sensing and Surveying Applications,
UAV-g15(233-239).
DOI Link 1512
BibRef

Fiack, L.[Laurent], Cuperlier, N.[Nicolas], Miramond, B.[Benoît],
Embedded and real-time architecture for bio-inspired vision-based robot navigation,
RealTimeIP(10), No. 4, December 2015, pp. 699-722.
WWW Link. 1512
BibRef

Cuperlier, N.[Nicolas], Demelo, F., Miramond, B.[Benoît],
FPGA-based bio-inspired architecture for multi-scale attentional vision,
DASIP16(231-232)
IEEE DOI 1704
cameras BibRef

Shin, B.S.[Bok-Suk], Mou, X.Z.[Xiao-Zheng], Mou, W.[Wei], Wang, H.[Han],
Vision-based navigation of an unmanned surface vehicle with object detection and tracking abilities,
MVA(29), No. 1, January 2018, pp. 95-112.
WWW Link. 1801
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Zheng, L.[Ling], Li, B.[Bijun], Zhang, H.J.[Hong-Juan], Shan, Y.X.[Yun-Xiao], Zhou, J.[Jian],
A High-Definition Road-Network Model for Self-Driving Vehicles,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Sun, J., Wu, Z., Yin, Z., Yang, Z.,
SVM-CNN-Based Fusion Algorithm for Vehicle Navigation Considering Atypical Observations,
SPLetters(26), No. 2, February 2019, pp. 212-216.
IEEE DOI 1902
adaptive filters, convolution, covariance matrices, feedforward neural nets, image classification, ensemble learner BibRef

Brandão, M.[Martim], Jirotka, M.[Marina], Webb, H.[Helena], Luff, P.[Paul],
Fair navigation planning: A resource for characterizing and designing fairness in mobile robots,
AI(282), 2020, pp. 103259.
Elsevier DOI 2005
Motion planning, Robot navigation, Algorithmic fairness, Ethics, Responsible innovation BibRef

Bijjahalli, S., Sabatini, R.,
A High-Integrity and Low-Cost Navigation System for Autonomous Vehicles,
ITS(22), No. 1, January 2021, pp. 356-369.
IEEE DOI 2012
Global navigation satellite system, Autonomous vehicles, Visual odometry, Systems architecture, Automobiles, integrity augmentation BibRef

Guo, J.[Jia], Jiang, R.[Rui], He, B.[Bo], Yan, T.H.[Tian-Hong], Ge, S.S.[Shuzhi Sam],
General Learning Modeling for AUV Position Tracking,
IEEE_Int_Sys(35), No. 6, November 2020, pp. 28-38.
IEEE DOI 2012
Sea measurements, Simultaneous localization and mapping, Computational modeling, Mathematical model, Neural networks, Position Tracking BibRef

Romero, S.F.[Sergio Fernandez], Barrado, P.M.[Pablo Morata], Rodriguez, M.A.R.[Miguel Angel Rivero], Yañez, G.A.V.[Gustavo Adolfo Vazquez], de Diego Custodio, E.[Eduardo], Michelena, M.D.[Marina Díaz],
Vector Magnetometry Using Remotely Piloted Aircraft Systems: An Example of Application for Planetary Exploration,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Liu, Y.[Yanan], Bose, L.[Laurie], Greatwood, C.[Colin], Chen, J.N.[Jia-Ning], Fan, R.[Rui], Richardson, T.[Thomas], Carey, S.J.[Stephen J.], Dudek, P.[Piotr], Mayol-Cuevas, W.[Walterio],
Agile reactive navigation for a non-holonomic mobile robot using a pixel processor array,
IET-IPR(15), No. 9, 2021, pp. 1883-1892.
DOI Link 2106
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Duan, Y.[Yabo], Li, H.Z.[Huai-Zhan], Wu, S.Q.[Su-Qin], Zhang, K.F.[Ke-Fei],
INS Error Estimation Based on an ANFIS and Its Application in Complex and Covert Surroundings,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
ANFIS: adaptive neuro fuzzy inference system. BibRef

Ye, M.[Mao], Li, F.[Fei], Yan, J.G.[Jian-Guo], Hérique, A.[Alain], Kofman, W.[Wlodek], Rogez, Y.[Yves], Andert, T.P.[Thomas P.], Guo, X.[Xi], Barriot, J.P.[Jean-Pierre],
Rosetta CONSERT Data as a Testbed for In Situ Navigation of Space Probes and Radiosciences in Orbit/Escort Phases for Small Bodies of the Solar System,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
Space systems. BibRef

Liu, J.H.[Jia-Hang], Huang, Z.H.[Zhen-Hua], Xu, X.[Xin], Zhang, X.L.[Xing-Long], Sun, S.L.[Shi-Liang], Li, D.[Dazi],
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles,
SMCS(51), No. 11, November 2021, pp. 6962-6975.
IEEE DOI 2110
Kernel, Intelligent vehicles, Vehicle dynamics, Adaptation models, Optimal control, Heuristic algorithms, Approximation algorithms, steering control BibRef

Guo, J.[Jia], He, B.[Bo],
Improved iSAM Based on Flexible Re-Linearization Threshold and Error Learning Model for AUV in Large Scale Areas,
ITS(22), No. 12, December 2021, pp. 7678-7687.
IEEE DOI 2112
Underwater navigation. Measurement uncertainty, Sea measurements, Simultaneous localization and mapping, Mathematical model, unmanned underwater vehicles BibRef

Ou, J.J.[Jia-Jun], Guo, X.[Xiao], Lou, W.J.[Wen-Jie], Zhu, M.[Ming],
Quadrotor Autonomous Navigation in Semi-Known Environments Based on Deep Reinforcement Learning,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Zhang, X.[Xupei], He, Z.Z.[Zhan-Zhuang], Ma, Z.[Zhong], Wang, Z.X.[Zhong-Xi], Wang, L.[Li],
LLFE: A Novel Learning Local Features Extraction for UAV Navigation Based on Infrared Aerial Image and Satellite Reference Image Matching,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Rodrigues da Silva, J.A.[Júnior Anderson], Gomes, I.P.[Iago Pachêco], Wolf, D.F.[Denis Fernando], Grassi, V.[Valdir],
Sparse Road Network Model for Autonomous Navigation Using Clothoids,
ITS(23), No. 2, February 2022, pp. 885-898.
IEEE DOI 2202
Roads, Navigation, Autonomous vehicles, Computational modeling, Geometry, Splines (mathematics), Path planning, clothoids BibRef

Maaref, M.[Mahdi], Kassas, Z.M.[Zaher M.],
Autonomous Integrity Monitoring for Vehicular Navigation With Cellular Signals of Opportunity and an IMU,
ITS(23), No. 6, June 2022, pp. 5586-5601.
IEEE DOI 2206
Navigation, Monitoring, Global navigation satellite system, Receivers, Land vehicles, Clocks, Sensors, Navigation, ground vehicle, signals of opportunity BibRef

Juang, C.F.[Chia-Feng], Chou, C.Y.[Ching-Yu], Lin, C.T.[Chin-Teng],
Navigation of a Fuzzy-Controlled Wheeled Robot Through the Combination of Expert Knowledge and Data-Driven Multiobjective Evolutionary Learning,
Cyber(52), No. 8, August 2022, pp. 7388-7401.
IEEE DOI 2208
Robot sensing systems, Navigation, Mobile robots, Task analysis, Optimization, PD control, Fuzzy control, Data-driven fuzzy systems, robot navigation BibRef

Esfahlani, S.S.[Shabnam Sadeghi], Sanaei, A.[Alireza], Ghorabian, M.[Mohammad], Shirvani, H.[Hassan],
The Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO),
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Qin, J.Y.[Jiang-Ying], Li, M.[Ming], Li, D.R.[De-Ren], Zhong, J.G.[Jia-Geng], Yang, K.[Ke],
A Survey on Visual Navigation and Positioning for Autonomous UUVs,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Jaskólski, K.[Krzysztof],
Availability of Automatic Identification System (AIS) Based on Spectral Analysis of Mean Time to Repair (MTTR) Determined from Dynamic Data Age,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
Marine navigation safety. BibRef

Wu, Y.[Yibin], Kuang, J.[Jian], Niu, X.J.[Xiao-Ji],
Wheel-INS2: Multiple MEMS IMU-Based Dead Reckoning System With Different Configurations for Wheeled Robots,
ITS(24), No. 3, March 2023, pp. 3064-3077.
IEEE DOI 2303
Wheels, Navigation, Velocity measurement, Micromechanical devices, Kalman filters, Gyroscopes, Global navigation satellite system, wheeled robot BibRef

Mazurkiewicz, B.[Bartosz], Kattenbeck, M.[Markus], Giannopoulos, I.[Ioannis],
Free Choice Navigation in the Real World: Giving Back Freedom to Wayfinders,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Shao, X.L.[Xing-Ling], Li, S.X.[Shi-Xiong], Zhang, W.D.[Wen-Dong], Wu, E.Q.[Edmond Q.],
Distance-Based Elliptical Circumnavigation Control for Non-Holonomic Robots With Event-Triggered Unknown System Dynamics Estimators,
ITS(24), No. 4, April 2023, pp. 3986-3998.
IEEE DOI 2304
Robots, Mobile robots, Kinetic theory, Uncertainty, Convergence, Kinematics, Frequency measurement, ETUSDE, elliptical encircling, non-holonomic mobile robot BibRef

Song, Z.[Zhe], Zhang, Y.[Yi], Yu, Y.[Yang], Tang, C.K.[Cheng-Kai],
A Cooperative Positioning Algorithm via Manifold Gradient for Distributed Systems,
SPLetters(30), 2023, pp. 967-971.
IEEE DOI 2308
Manifolds, Navigation, Signal processing algorithms, Mathematical models, Position measurement, Filtering, Optimization, information geometry BibRef

Li, B.[Bohan], Huang, Z.L.[Zhe-Long], Chen, T.W.T.[Tony Wei-Tong], Dai, T.L.[Tian-Lun], Zang, Y.[Yalei], Xie, W.B.[Wen-Bin], Tian, B.[Bo], Cai, K.[Ken],
MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning,
ITS(24), No. 8, August 2023, pp. 8628-8637.
IEEE DOI 2308
Navigation, Robots, Reinforcement learning, Service robots, Collision avoidance, Production facilities, Transportation, robot motion planning BibRef

Botros, A.[Alexander], Smith, S.L.[Stephen L.],
Spatio-Temporal Lattice Planning Using Optimal Motion Primitives,
ITS(24), No. 11, November 2023, pp. 11950-11962.
IEEE DOI 2311
Restrict options in motion planning. BibRef

Liu, Z.[Zun], Cao, Y.Q.[Yuan-Qiang], Chen, J.[Jianyong], Li, J.Q.[Jian-Qiang],
A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation,
ITS(24), No. 11, November 2023, pp. 13309-13320.
IEEE DOI 2311
BibRef

Cassará, P.[Pietro], Summa, M.D.[Maria Di], Gotta, A.[Alberto], Martelli, M.[Michele],
E-Navigation: A Distributed Decision Support System With Extended Reality for Bridge and Ashore Seafarers,
ITS(24), No. 11, November 2023, pp. 13384-13395.
IEEE DOI 2311
Navigation system for water. BibRef

Huang, W.H.[Wen-Hui], Zhou, Y.X.[Yan-Xin], He, X.[Xiangkun], Lv, C.[Chen],
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation,
ITS(25), No. 2, February 2024, pp. 1832-1845.
IEEE DOI Code:
WWW Link. 2402
Transformers, Autonomous robots, Task analysis, Navigation, Reinforcement learning, Decision making, Visualization, data efficiency BibRef

Hu, X.B.[Xiao-Bo], Lin, Y.[Youfang], Wang, S.[Shuo], Wu, Z.H.[Zhi-Hao], Lv, K.[Kai],
Agent-Centric Relation Graph for Object Visual Navigation,
CirSysVideo(34), No. 2, February 2024, pp. 1295-1309.
IEEE DOI 2402
Steer an agent to an object. Navigation, Visualization, Visual perception, Task analysis, Transformers, Semantics, Sonar navigation, reinforcement learning BibRef

Boiteau, S.[Sebastien], Vanegas, F.[Fernando], Gonzalez, F.[Felipe],
Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments,
RS(16), No. 3, 2024, pp. 471.
DOI Link 2402
BibRef

Chen, B.[Bolei], Kang, J.X.[Jia-Xu], Zhong, P.[Ping], Cui, Y.Z.[Yong-Zheng], Lu, S.[Siyi], Liang, Y.X.[Yi-Xiong], Wang, J.X.[Jian-Xin],
Think Holistically, Act Down-to-Earth: A Semantic Navigation Strategy With Continuous Environmental Representation and Multi-Step Forward Planning,
CirSysVideo(34), No. 5, May 2024, pp. 3860-3875.
IEEE DOI 2405
Semantics, Navigation, Task analysis, Visualization, TV, Planning, Mice, Object goal navigation, semantic map prediction BibRef

Cheng, M.[Ming], Liu, H.[Hao], Gao, Q.[Qing], Lu, J.[Jinhu], Xia, X.H.[Xiao-Hua],
Optimal Containment Control of a Quadrotor Team With Active Leaders via Reinforcement Learning,
Cyber(54), No. 8, August 2024, pp. 4502-4512.
IEEE DOI 2408
Quadrotors, Vehicle dynamics, Optimal control, Reinforcement learning, Protocols, Position control BibRef

Xu, L.X.[Lin-Xing], Wang, Y.L.[Yu-Long], Wang, X.F.[Xiao-Fan], Peng, C.[Chen],
Distributed Active Disturbance Rejection Formation Tracking Control for Quadrotor UAVs,
Cyber(54), No. 8, August 2024, pp. 4678-4689.
IEEE DOI 2408
Quadrotors, Autonomous aerial vehicles, Formation control, Topology, Mathematical models, Switches, Sensors, unmanned aerial vehicle (UAV) BibRef

Hu, R.Z.[Run-Zhi], Bai, S.Y.[Shi-Yu], Wen, W.S.[Wei-Song], Xia, X.[Xin], Hsu, L.T.[Li-Ta],
Towards high-definition vector map construction based on multi-sensor integration for intelligent vehicles: Systems and error quantification,
IET-ITS(18), No. 8, 2024, pp. 1477-1493.
DOI Link Code:
WWW Link. 2408
automated driving and intelligent vehicles, autonomous driving, navigation, sensor fusion BibRef

Jung, B.K.[Bong-Kyu], Park, C.H.[Cheor-Hong], Choi, W.S.[Won-Sam], Kim, D.H.[Dong-Hyun],
Analysis of Radio-Shaded Areas in the Geoje Island Sea Based on the Automatic Identification System (AIS),
RS(16), No. 14, 2024, pp. 2624.
DOI Link 2408
merchant ships ID system. BibRef

Cui, C.[Can], Ma, Y.S.[Yun-Sheng], Cao, X.[Xu], Ye, W.Q.[Wen-Qian], Wang, Z.[Ziran],
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles,
LLVMCrive24(902-909)
IEEE DOI 2404
Decision making, Natural languages, Ecosystems, Cognition, Real-time systems, Safety, Reliability BibRef

Sun, J.W.[Jing-Wen], Wu, J.[Jing], Ji, Z.[Ze], Lai, Y.K.[Yu-Kun],
RSMPNet: Relationship Guided Semantic Map Prediction,
WACV24(302-311)
IEEE DOI Code:
WWW Link. 2404
Codes, Navigation, Aggregates, Semantics, Decision making, Prediction methods, Algorithms, Image recognition and understanding BibRef

Ishida, S.[Shu], Henriques, J.F.[João F.],
Towards real-world navigation with deep differentiable planners,
CVPR22(17306-17315)
IEEE DOI 2210
Representation learning, Navigation, Robot vision systems, Semantics, Neural networks, Reinforcement learning, Vision applications and systems BibRef

Dwivedi, K.[Kshitij], Roig, G.[Gemma], Kembhavi, A.[Aniruddha], Mottaghi, R.[Roozbeh],
What do navigation agents learn about their environment?,
CVPR22(10266-10275)
IEEE DOI 2210
Deep learning, Visualization, Navigation, Neurons, Virtual environments, Metadata, Pattern recognition, Robot vision BibRef

Al-Halah, Z.[Ziad], Ramakrishnan, S.K.[Santhosh K.], Grauman, K.[Kristen],
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation,
CVPR22(17010-17020)
IEEE DOI 2210
Training, Visualization, Solid modeling, Navigation, Semantic search, Transfer learning, Scene analysis and understanding, Transfer/low-shot/long-tail learning BibRef

Ye, J.[Joel], Batra, D.[Dhruv], Das, A.[Abhishek], Wijmans, E.[Erik],
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation,
ICCV21(16097-16106)
IEEE DOI 2203
Visualization, Navigation, Task analysis, Vision for robotics and autonomous vehicles, BibRef

Kwon, O.[Obin], Kim, N.[Nuri], Choi, Y.H.[Yun-Ho], Yoo, H.[Hwiyeon], Park, J.[Jeongho], Oh, S.H.[Song-Hwai],
Visual Graph Memory with Unsupervised Representation for Visual Navigation,
ICCV21(15870-15879)
IEEE DOI 2203

WWW Link.
WWW Link. Representation learning, Visualization, Navigation, Buildings, Image representation, History, BibRef

Maksymets, O.[Oleksandr], Cartillier, V.[Vincent], Gokaslan, A.[Aaron], Wijmans, E.[Erik], Galuba, W.[Wojciech], Lee, S.[Stefan], Batra, D.[Dhruv],
THDA: Treasure Hunt Data Augmentation for Semantic Navigation,
ICCV21(15354-15363)
IEEE DOI 2203
Training, Visualization, Navigation, Layout, Semantics, Training data, Vision for robotics and autonomous vehicles, Vision + other modalities BibRef

Taniguchi, A.[Asuto], Sasaki, F.[Fumihiro], Yamashina, R.[Ryota],
Pose Invariant Topological Memory for Visual Navigation,
ICCV21(15364-15373)
IEEE DOI 2203
Visualization, Costs, Navigation, Image edge detection, Artificial neural networks, Robustness, Representation learning BibRef

Zhang, S.X.[Si-Xian], Song, X.H.[Xin-Hang], Bai, Y.B.[Yu-Bing], Li, W.J.[Wei-Jie], Chu, Y.[Yakui], Jiang, S.Q.[Shu-Qiang],
Hierarchical Object-to-Zone Graph for Object Navigation,
ICCV21(15110-15120)
IEEE DOI 2203
Navigate to an object. Measurement, Weight measurement, Visualization, Codes, Navigation, Reinforcement learning, Scene analysis and understanding BibRef

Jain, U.[Unnat], Liu, I.J.[Iou-Jen], Lazebnik, S.[Svetlana], Kembhavi, A.[Aniruddha], Weihs, L.[Luca], Schwing, A.[Alexander],
GridToPix: Training Embodied Agents with Minimal Supervision,
ICCV21(15121-15131)
IEEE DOI 2203
Training, Visualization, Navigation, Shape, Games, Reinforcement learning, Mirrors, BibRef

Krantz, J.[Jacob], Gokaslan, A.[Aaron], Batra, D.[Dhruv], Lee, S.[Stefan], Maksymets, O.[Oleksandr],
Waypoint Models for Instruction-guided Navigation in Continuous Environments,
ICCV21(15142-15151)
IEEE DOI 2203
Visualization, Navigation, Computational modeling, Buildings, Predictive models, Time measurement, Vision + other modalities BibRef

Chattopadhyay, P.[Prithvijit], Hoffman, J.[Judy], Mottaghi, R.[Roozbeh], Kembhavi, A.[Aniruddha],
RobustNav: Towards Benchmarking Robustness in Embodied Navigation,
ICCV21(15671-15680)
IEEE DOI 2203
Resistance, Visualization, Codes, Navigation, Benchmark testing, Robustness, Vision for robotics and autonomous vehicles, Datasets and evaluation BibRef

Bouloukou, M.P., Masiero, A., Vettore, A., Gikas, V.,
UAV UWB Positioning Close to Building Facades: A Case Study,
ISPRS21(B1-2021: 97-102).
DOI Link 2201

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Landi, F.[Federico], Bigazzi, R.[Roberto], Cornia, M.[Marcella], Cascianelli, S.[Silvia], Baraldi, L.[Lorenzo], Cucchiara, R.[Rita],
Spot the Difference: A Novel Task for Embodied Agents in Changing Environments,
ICPR22(4182-4188)
IEEE DOI 2212
BibRef
And: A2, A1, A3, A4, A5, A6:
Out of the Box: Embodied Navigation in the Real World,
CAIP21(I:47-57).
Springer DOI 2112
Navigation, Layout, Intelligent agents, Task analysis. BibRef

Kong, Q.[Qi], Zhang, L.L.[Liang-Liang], Xu, X.[Xin],
VPNet: Vision and Planning Network for Robotic Navigation,
ICIVC21(347-352)
IEEE DOI 2112
Navigation, Urban areas, Measurement uncertainty, Planning, Trajectory, Safety, Reliability, robotic navigation, end-to-end, vision and planning BibRef

Zhu, F.D.[Feng-Da], Liang, X.[Xiwen], Zhu, Y.[Yi], Yu, Q.Z.[Qi-Zhi], Chang, X.J.[Xiao-Jun], Liang, X.D.[Xiao-Dan],
SOON: Scenario Oriented Object Navigation with Graph-based Exploration,
CVPR21(12684-12694)
IEEE DOI 2111
Training, Visualization, Navigation, Computational modeling, Semantics, Benchmark testing BibRef

Ye, X.[Xin], Yang, Y.Z.[Ye-Zhou],
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph,
CVPR21(14096-14105)
IEEE DOI 2111
Visualization, Navigation, Reinforcement learning, Search problems, Cognition, Planning BibRef

Chen, C.[Changan], Al-Halah, Z.[Ziad], Grauman, K.[Kristen],
Semantic Audio-Visual Navigation,
CVPR21(15511-15520)
IEEE DOI 2111
Visualization, Navigation, Semantics, Predictive models, Transformers, Acoustics BibRef

Zeng, K.H.[Kuo-Hao], Weihs, L.[Luca], Farhadi, A.[Ali], Mottaghi, R.[Roozbeh],
Pushing it out of the Way: Interactive Visual Navigation,
CVPR21(9863-9872)
IEEE DOI 2111
Visualization, Limiting, Navigation, Predictive models, Turning, Planning BibRef

Mayo, B.[Bar], Hazan, T.[Tamir], Tal, A.[Ayellet],
Visual Navigation with Spatial Attention,
CVPR21(16893-16902)
IEEE DOI 2111
Visualization, Navigation, Semantics, Reinforcement learning, Pattern recognition, Task analysis BibRef

Hong, Y.C.[Yi-Cong], Wu, Q.[Qi], Qi, Y.[Yuankai], Rodriguez-Opazo, C.[Cristian], Gould, S.[Stephen],
VLN_BERT: A Recurrent Vision-and-Language BERT for Navigation,
CVPR21(1643-1653)
IEEE DOI 2111
Adaptation models, Visualization, Technological innovation, Navigation, Bit error rate, Computer architecture, Markov processes BibRef

Desai, S.S.[Saurabh Satish], Lee, S.[Stefan],
Auxiliary Tasks for Efficient Learning of Point-Goal Navigation,
WACV21(717-725)
IEEE DOI 2106
Training, Geometry, Visualization, Navigation, Computational modeling BibRef

Moghaddam, M.K.[Mahdi Kazemi], Wu, Q.[Qi], Abbasnejad, E.[Ehsan], Shi, J.[Javen],
Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation,
WACV21(3732-3741)
IEEE DOI 2106
Weight measurement, Visualization, Estimation error, Navigation, Reinforcement learning, Length measurement BibRef

Tang, T.Q.[Tian-Qi], Yu, X.[Xin], Dong, X.Y.[Xuan-Yi], Yang, Y.[Yi],
Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation,
WACV21(3742-3751)
IEEE DOI 2106
Training, Visualization, Navigation, Neural networks, Computer architecture, Reinforcement learning, Feature extraction BibRef

Sahin, B.[Bekir], Uddin, Z.[Zia], Soylu, A.[Ahmet],
Towards Optimal Ship Navigation Using Image Processing,
ISVC20(I:135-147).
Springer DOI 2103
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Frentzos, E., Tournas, E., Skarlatos, D.,
Developing An Image Based Low-cost Mobile Mapping System for GIS Data Acquisition,
ISPRS20(B1:235-242).
DOI Link 2012
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di Pietra, V., Grasso, N., Piras, M., Dabove, P.,
Characterization of A Mobile Mapping System for Seamless Navigation,
ISPRS20(B1:227-234).
DOI Link 2012
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Anbaroglu, B., Coskun, I.B., Gürler, H.H.,
Which Way Is 'Yildiz Amfi'? Augmented Reality Vs. Paper Map On Pedestrian Wayfinding,
SmartCityApp20(53-60).
DOI Link 2012
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Wang, X.E.[Xin Eric], Jain, V.[Vihan], Ie, E.[Eugene], Wang, W.Y.[William Yang], Kozareva, Z.[Zornitsa], Ravi, S.[Sujith],
Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation,
ECCV20(XXIV:413-430).
Springer DOI 2012
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Roddick, T.[Thomas], Cipolla, R.[Roberto],
Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks,
CVPR20(11135-11144)
IEEE DOI 2008
Map for autonomous navigation. Semantics, Feature extraction, Roads, Automobiles, Task analysis, Image segmentation BibRef

Li, J., Wang, X., Tang, S., Shi, H., Wu, F., Zhuang, Y., Wang, W.Y.,
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation,
CVPR20(12120-12129)
IEEE DOI 2008
Task analysis, Navigation, Training, Generators, Visualization, Learning (artificial intelligence), Robots BibRef

Li, A., Hu, H., Mirowski, P., Farajtabar, M.,
Cross-View Policy Learning for Street Navigation,
ICCV19(8099-8108)
IEEE DOI 2004
geographic information systems, image processing, learning (artificial intelligence), navigation, Trajectory BibRef

Wortsman, M.[Mitchell], Ehsani, K.[Kiana], Rastegari, M.[Mohammad], Farhadi, A.[Ali], Mottaghi, R.[Roozbeh],
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning,
CVPR19(6743-6752).
IEEE DOI 2002
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Kim, J.[Jinkyu], Rohrbach, A.[Anna], Darrell, T.J.[Trevor J.], Canny, J.[John], Akata, Z.[Zeynep],
Textual Explanations for Self-Driving Vehicles,
ECCV18(II: 577-593).
Springer DOI 1810
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Ramakrishnan, S.K.[Santhosh K.], Grauman, K.[Kristen],
Sidekick Policy Learning for Active Visual Exploration,
ECCV18(XII: 424-442).
Springer DOI 1810
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Al-Kaff, A.[Abdulla], de la Escalera, A.[Arturo], Armingol, J.M.[José María],
Homography-Based Navigation System for Unmanned Aerial Vehicles,
ACIVS17(288-300).
Springer DOI 1712
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Volkova, A., Gibbens, P.W.,
Towards Automated Feature-Based Calibration of Wide-Area Motion Imagery,
DICTA17(1-9)
IEEE DOI 1804
calibration, cameras, cartography, geophysical image processing, image motion analysis, image sensors, iterative methods, Visualization BibRef

Volkova, A., Gibbens, P.W.[Peter W.],
Extended Robust Feature-Based Visual Navigation System for UAVs,
DICTA16(1-7)
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Autonomous Cross-Country Navigation Using Stereo Vision,
CMU-RI-TR-99-03, January, 1999.
HTML Version. BibRef 9901

Adorni, G., Cagnoni, S.,
A Cellular Automata-Based Tool as an Aid for Autonomous Navigation,
SCIA99(Computer Vision). BibRef 9900

Santos-Victor, J.[José], Vassallo, R.F.[Raquel F.], Schneebeli, H.J.[Hans J.],
Topological Maps for Visual Navigation,
CVS99(21 ff.).
Springer DOI 0209
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Southall, B., Hague, T., Marchant, J.A., Buxton, B.F.,
Vision-Aided Outdoor Navigation of an Autonomous Horticultural Vehicle,
CVS99(37 ff.).
Springer DOI 0209
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Park, S.S., Sowmya, A.,
Autonomous Robot Navigation by Active Visual Motion Analysis and Understanding,
MVA98(xx-yy). BibRef 9800

Mitchell, B.T., Jacobus, C.J., Watts, R.C.,
A Human-Centered Approach to UGV Navigation,
ARPA96(643-650). Hardware development for operator control system. BibRef 9600

Veelaert, P., Peremans, H.,
Mobile Robot Navigation Based on Flexibility Maps of the Environment,
ICPR96(I: 146-150).
IEEE DOI 9608
(Univ. of Ghent, B) BibRef

Fayek, R., Wong, A.,
Using Hypergraph Knowledge Representation for Natural Terrain Robot Navigation and Path Planning,
ICPR96(C74.6). 9608
(Univ. of Waterloo, CDN) BibRef

Rochwerger, B., Fennema, C.L., Draper, B.A., Hanson, A.R., Riseman, E.M.,
Executing Reactive Behavior for Autonomous Navigation,
CVPR94(838-841).
IEEE DOI BibRef 9400
And: COINSTR 94-05, February 1994.
PS File. Also from:
PS File. BibRef
And:
An Architecture for Reactive Behavior,
ICPR94(D:305-304).
PS File. BibRef

Rochwerger, B., Fennema, C.L., Draper, B., Hanson, A.R.,
An architecture for reactive behaviour,
ICPR94(C:305-309).
IEEE DOI 9410
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Weng, J.J., Chen, S.,
Autonomous Navigation Through Case-Based Learning,
SCV95(359-364).
IEEE DOI Michigan State University. BibRef 9500

Coombs, D.[David],
Visual Sensing for Navigation and Driving,
in Recommendations for Performance Evaluation of Unmanned Ground Vehicle Technologies ( NISTIR5244), NIST, Robot Systems Division, August 1993, pp. 32-50. BibRef 9308

Miller, D.P., Slack, M.G.,
Efficient Navigation Through Dynamic Domains,
SRMSF87(230-239). BibRef 8700

Bixler, J.P., Miller, D.P.,
A Sensory Input System for Autonomous Mobile Robots,
SRMSF87(211-219). BibRef 8700

Giralt, G., Sobek, R., Chatila, R.,
A Multi-Level Planning and Navigation System for a Mobile Robot; A First Approach to HILARE,
IJCAI79(335-337). BibRef 7900

Firschein, O., Gennery, D.B., Milgram, D.L., and Pearson, J.J.,
Progress in Navigation Using Passively Sensed Images,
DARPA79(139-144). BibRef 7900

Firschein, O., and Pearson, J.J.,
Artificial Intelligence Concepts Applied to Navigation Using Passively Sensed Images,
DARPAN78(66-72). BibRef 7800

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Bird's Eye View, Generation, Use .