15.3 Autonomous Vehicles

Brooks, R.A.,
New Approaches to Robotics,
Science(253), September 13, 1991, pp. 1227-1232. The basics of subsupmption architectures. BibRef 9109

Brooks, R.A.,
Small autonomous mobile robots: sensing and action,
CVPR91(452).
IEEE DOI 0403
BibRef

Brooks, R.A.,
A Robust Layered Control System for a Mobile Robot,
RA(2), April 1986, pp. 14-23. BibRef 8604

Lozano-Perez, T., Jones, J.L., Mazer, E., and O'Donnell, P.A.,
Task-Level Planning of Pick-and-Place Robot Motions,
Computer(22), No. 3, March 1989, pp. 21-29. BibRef 8903

Lozano-Perez, T., Jones, J.L., Mazer, E., and O'Donnell, P.A.,
HANDEY: A Robot Task Planner,
MIT Press:Cambridge, July 1992. ISBN 0-262-12172-7
WWW Link. BibRef 9207

Lozano-Perez, T.,
A Simple Motion-Planning Algorithm for General Robot Manipulators,
RA(3), 1987, pp. 229-238. BibRef 8700

Brooks, R.A., and Lozano-Perez, T.,
A Subdivision Algorithm in Configuration Space for Findpath with Rotation,
SMC(15), No. 2, 1985, pp. 224-233. BibRef 8500
Earlier: IJCAI83(799-806). BibRef
And: MIT AI Memo-684, December 1982. BibRef

Lozano-Perez, T.[Tomas],
Spatial Planning: A Configuration Space Approach,
TC(32), No. 2, February 1983, pp. 108-120. BibRef 8302
Earlier: MIT AI Memo-605, December 1980. BibRef

Miller, R.K., Stewart, D.G., Brockman, W.H., Skaar, S.B.,
A Camera Space Control-System For An Automated Forklift,
RA(10), No. 5, October 1994, pp. 710-716. Application, Forklift. BibRef 9410

Skaar, S.B., Brockman, W.H., Jang, W.S.,
Three-Dimensional Camera Space Manipulation,
IJRR(9), No. 4, 1990, pp. 22-39. BibRef 9000

Dorigo, M.[Marco], and Colombetti, M.[Marco],
Robot Shaping: Developing Autonomous Agents Through Learning,
AI(71), No. 2, December 1994, pp. 321-370.
Elsevier DOI BibRef 9412

Baldassarre, G., Trianni, V., Bonani, M., Mondada, F., Dorigo, M.[Marco], Nolfi, S.,
Self-Organized Coordinated Motion in Groups of Physically Connected Robots,
SMC-B(37), No. 1, February 2007, pp. 224-239.
IEEE DOI 0703
BibRef

Aloimonos, Y.[Yiannis], Rivlin, E.[Ehud], and Huang, L.Q.[Liu-Qing],
Designing Visual Systems: Purposive Navigation,
ActPercep93(xx-yy). BibRef 9300

Mouritsen, H.,
Navigation in birds and other animals,
IVC(19), No. 11, September 2001, pp. 713-731.
Elsevier DOI Navigation issues. 0108
BibRef

Bayro-Corrochano, E.[Eduardo],
Motor algebra approach for visually guided robotics,
PR(35), No. 1, January 2002, pp. 279-294.
Elsevier DOI 0111
BibRef

Casper, J., Murphy, R.R.,
Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center,
SMC-B(33), No. 3, June 2003, pp. 367-385.
IEEE Abstract. 0308
BibRef

Murphy, R.R.,
Human-robot interaction in rescue robotics,
SMC-C(34), No. 2, May 2004, pp. 138-153.
IEEE Abstract. 0407
BibRef

Farinelli, A., Iocchi, L., Nardi, D.,
Multirobot systems: a classification focused on coordination,
SMC-B(34), No. 5, October 2004, pp. 2015-2028.
IEEE Abstract. 0412
BibRef

Jin, Y.[Yan], Liao, Y.[Yan], Minai, A.A., Polycarpou, M.M.,
Balancing search and target response in cooperative unmanned aerial vehicle (UAV) teams,
SMC-B(36), No. 3, June 2006, pp. 571-587.
IEEE DOI 0606
BibRef

Alfaro-Cid, E., McGookin, E.W., Murray-Smith, D.J., Fossen, T.I.,
Genetic Programming for the Automatic Design of Controllers for a Surface Ship,
ITS(9), No. 2, June 2008, pp. 311-321.
IEEE DOI 0806
BibRef

Bolles, R.C., Bunke, H., Noltemeier, H.,
Intelligent Robots: Sensing, Modeling and Planning,
World Scientific2010. ISBN: 978-981-02-3185-9 ebook ISBN: 978-981-279-769-8
HTML Version. 1005
Buy this book: Intelligent Robots - Sensing, Modeling and Planning: Sensing, Modeling and Planning (Series in Machine Perception and Artificial Intelligence, Vol 27) Path and Motion Planning, Navigation and Sensing, Localization and Visibility, Vision, Shape, and Object Recognition, Environment Modeling, Fixture Design and Grasping, Distributed Systems, Ecological Systems, Learning, and Robot Control, Applications BibRef

Thrun, S.[Sebastian],
Toward Robotic Cars,
CACM(53), No. 4, April 2010, pp. 99-106.
DOI Link 1101
Survey, Autonomous Vehicles. Recent challenges organized by DARPA have induced a significant advance in technology for autopilots for cars; similar to those already used in aircraft and marine vessels. This article reviews this technology. BibRef

Meier, L.[Lorenz], Fraundorfer, F.[Friedrich], and Pollefeys, M.[Marc],
The intelligent flying eye,
SPIE(Newsroom), January 13, 2011.
DOI Link 1101
A micro air vehicle with onboard intelligence can maneuver in hard-to-reach parts of disaster areas and provide video images for search-and-rescue operations. BibRef

Schneiderman, R.,
Unmanned Drones are Flying High in the Military/Aerospace Sector,
SPMag(29), No. 1, 2012, pp. 8-11.
IEEE DOI 1112
Survey, UAV. Special Report BibRef

Subudhi, B., Ge, S.S.,
Sliding-Mode-Observer-Based Adaptive Slip Ratio Control for Electric and Hybrid Vehicles,
ITS(13), No. 4, December 2012, pp. 1617-1626.
IEEE DOI 1212
BibRef

La, H.M., Lim, R.S., Du, J., Zhang, S., Yan, G., Sheng, W.,
Development of a Small-Scale Research Platform for Intelligent Transportation Systems,
ITS(13), No. 4, December 2012, pp. 1753-1762.
IEEE DOI 1212
BibRef

Shankar, R., Marco, J.,
Method for estimating the energy consumption of electric vehicles and plug-in hybrid electric vehicles under real-world driving conditions,
IET-ITS(7), No. 1, 2013, pp. 138-150.
DOI Link 1307
Award, IET IT Premium. BibRef

Murray, C.C., Park, W.,
Incorporating Human Factor Considerations in Unmanned Aerial Vehicle Routing,
SMCS(43), No. 4, 2013, pp. 860-874.
IEEE DOI 1307
Aircraft; Aircraft control human factors; human-machine interactions BibRef

Guizzo, E.,
Rescue-robot show-down,
Spectrum(51), No. 1, January 2014, pp. 52-55.
IEEE DOI 1402
disasters BibRef

Becerra, M.H.[M. Héctor], Sagüés, C.[Carlos],
Visual Control of Wheeled Mobile Robots: Unifying Vision and Control in Generic Approaches,

Bajcsy, R.[Ruzena],
Robots Are Coming,
CACM(56), No. 5, May 2014, pp. 42-43.
DOI Link 1405
Considering the societal implications of the robotics revolution. BibRef

Ross, P.E.,
Robot, you can drive my car,
Spectrum(51), No. 6, June 2014, pp. 60-90.
IEEE DOI 1407
Cities and towns BibRef

Kugler, L.[Logan],
Robots Compete in Disaster Scenarios,
CACM(56), No. 7, July 2014, pp. 16-18.
DOI Link 1407
The DARPA Robotics Challenge pitted teams from around the world against each other in a series of disaster-themed tasks. BibRef

Kim, Y., Yoon, W.C.,
Generating Task-Oriented Interactions of Service Robots,
SMCS(44), No. 8, August 2014, pp. 981-994.
IEEE DOI 1407
Abstracts BibRef

Jumadinova, J., Dasgupta, P., Soh, L.,
Strategic Capability-Learning for Improved Multiagent Collaboration in Ad Hoc Environments,
SMCS(44), No. 8, August 2014, pp. 1003-1014.
IEEE DOI 1407
Collaboration BibRef

Büttner, A.[Axel], Röser, H.P.[Hans-Peter],
Hyperspectral Remote Sensing with the UAS 'Stuttgarter Adler' System Setup, Calibration and First Results,
PFG(2014), No. 4, 2014, pp. 265-274.
DOI Link 1410
BibRef

Boom Times for the New Camera Boom,
Spectrum(52), No. 7, July 2015, pp. 4-4.
IEEE DOI 1507
[Back story] Discussion of small drones (previously known as model airplanes). BibRef

Yliniemi, L.[Logan], Agogino, A.K.[Adrian K.], Tumer, K.[Kagan],
Multirobot Coordination for Space Exploration,
AIMag(35), No. 4, Winter 2014, pp. 61-74.
DOI Link 1509
BibRef

Wettergreen, D.[David], Foil, G.[Greydon], Furlong, M.[Michael], Thompson, D.R.[David R.],
Science Autonomy for Rover Subsurface Exploration of the Atacama Desert,
AIMag(35), No. 4, Winter 2014, pp. 47-60.
DOI Link 1509
BibRef

Juang, C.F.[Chia-Feng], Lai, M.G.[Min-Ge], Zeng, W.T.[Wan-Ting],
Evolutionary Fuzzy Control and Navigation for Two Wheeled Robots Cooperatively Carrying an Object in Unknown Environments,
Cyber(45), No. 9, September 2015, pp. 1731-1743.
IEEE DOI 1509
ant colony optimisation BibRef

Guzmán, R.[Roberto], Hayet, J.B.[Jean-Bernard], Klette, R.[Reinhard],
Towards Ubiquitous Autonomous Driving: The CCSAD Dataset,
CAIP15(I:582-593).
Springer DOI 1511
BibRef

Phamduy, P., de Bellis, M., Porfiri, M.,
Controlling a Robotic Fish Via a Natural User Interface for Informal Science Education,
MultMed(17), No. 12, December 2015, pp. 2328-2337.
IEEE DOI 1512
Marine animals BibRef

Wang, N.[Ning], Er, M.J.[Meng Joo], Sun, J.C.[Jing-Chao], Liu, Y.C.[Yan-Cheng],
A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles,
Cyber(46), No. 5, May 2016, pp. 1106-1117.
IEEE DOI 1604
Approximation error BibRef

Wang, N.[Ning], Er, M.J.[Meng Joo], Sun, J.C.[Jing-Chao], Liu, Y.C.[Yan-Cheng],
Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System,
Cyber(46), No. 7, July 2016, pp. 1511-1523.
IEEE DOI 1606
Adaptive systems BibRef

Goodall, N.J.,
Can you program ethics into a self-driving car?,
Spectrum(53), No. 6, June 2016, pp. 28-58.
IEEE DOI 1606
Accidents BibRef

Li, B.[Boyuan], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
Trajectory control for autonomous electric vehicles with in-wheel motors based on a dynamics model approach,
IET-ITS(10), No. 5, 2016, pp. 318-330.
DOI Link 1608
electric vehicles BibRef

Li, B.[Boyuan], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
A Potential Field Approach-Based Trajectory Control for Autonomous Electric Vehicles With In-Wheel Motors,
ITS(18), No. 8, August 2017, pp. 2044-2055.
IEEE DOI 1708
Electric vehicles, Force, Tires, Trajectory, Vehicle dynamics, Wheels, Autonomous vehicle control, four-wheel independent driving, four-wheel independent steering, potential field method, vehicle, dynamics BibRef

Li, W.F.[Wen-Fei], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
Driver intention based coordinate control of regenerative and plugging braking for electric vehicles with in-wheel PMSMs,
IET-ITS(12), No. 10, December 2018, pp. 1300-1311.
DOI Link 1812
BibRef

Geller, T.[Tom],
Farm Automation Gets Smarter,
CACM(59), No. 11, November 2016, pp. 18-19.
DOI Link 1611
BibRef

Levander, O.,
Autonomous ships on the high seas,
Spectrum(54), No. 2, February 2017, pp. 26-31.
IEEE DOI 1702
Marine communication BibRef

Trappe, W.,
No Need for Speed: More Signal Processing Innovation Is Required Before Adopting Automated Vehicles,
SPMag(34), No. 2, March 2017, pp. 124-122.
IEEE DOI 1703
[In the Spotlight] article. Automotive engineering BibRef

Ma, J.W.[Jian-Wei], Shi, J.Y.[Jia-Yu], Zhang, H.T.[Hai-Tao],
Trajectory Tracking Optimal Control for Nonholonomic Mobile Robot,
Sensors(208), No. 1, January 2017, pp.22-27:
HTML Version. 1705
BibRef

Edwards, J.,
New Directions in Navigation and Positioning: Signal processing-enabled technologies pinpoint people, places, and things,
SPMag(34), No. 3, May 2017, pp. 10-13.
IEEE DOI 1705
Special Report item. Atomic beams, Atomic measurements, Extraterrestrial measurements, Frequency measurement, Global Positioning System, Gyroscopes, Mobile communication, Navigation, Signal processing, Tracking BibRef

Ingrand, F.[Félix], Ghallab, M.[Malik],
Deliberation for autonomous robots: A survey,
AI(247), No. 1, 2017, pp. 10-44.
Elsevier DOI 1705
Robotics BibRef

Young, S.H., Mazzuchi, T.A., Sarkani, S.,
A Framework for Predicting Future System Performance in Autonomous Unmanned Ground Vehicles,
SMCS(47), No. 7, July 2017, pp. 1192-1206.
IEEE DOI 1706
Complexity theory, Measurement, Modeling, Navigation, Predictive models, Robots, System performance, Mobile robots, modeling, systems engineering, unmanned, ground, vehicles, (UGVs) BibRef

Kim, S.W., Gwon, G.P., Hur, W.S., Hyeon, D., Kim, D.Y., Kim, S.H., Kye, D.K., Lee, S.H., Lee, S., Shin, M.O., Seo, S.W.,
Autonomous Campus Mobility Services Using Driverless Taxi,
ITS(18), No. 12, December 2017, pp. 3513-3526.
IEEE DOI 1712
Automobiles, Bicycles, Layout, Public transportation, Roads, Sensors, Autonomous driving vehicle, campus mobility service, one-way shared urban mobility BibRef

Amigoni, F., Banfi, J., Basilico, N.,
Multirobot Exploration of Communication-Restricted Environments: A Survey,
IEEE_Int_Sys(32), No. 6, November 2017, pp. 48-57.
IEEE DOI 1801
Mobile robots, Multi-robot systems, Robot kinematics, Spread spectrum communication, Task analysis, Videos, robotics BibRef

Choi, Y., Kim, N., Hwang, S., Park, K., Yoon, J.S., An, K., Kweon, I.S.,
KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,
ITS(19), No. 3, March 2018, pp. 934-948.
IEEE DOI 1804
Calibration, Cameras, Laser radar, Optical distortion, Optical imaging, Optical sensors, Thermal sensors, Dataset, multi-spectral vehicle system BibRef

Atila, U.[Umit], Ortakci, Y.[Yasin], Ozacar, K.[Kasim], Demiral, E.[Emrullah], Karas, I.R.[Ismail Rakip],
SmartEscape: A Mobile Smart Individual Fire Evacuation System Based on 3D Spatial Model,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Hooey, B.L., Kaber, D.B., Adams, J.A., Fong, T.W., Gore, B.F.,
The Underpinnings of Workload in Unmanned Vehicle Systems,
HMS(48), No. 5, October 2018, pp. 452-467.
IEEE DOI 1809
Automation, Unmanned vehicles, Complex systems, Load modeling, Automation, cognitive models, remotely operated vehicles (ROVs), workload BibRef

Jin, L., Li, S., Xiao, L., Lu, R., Liao, B.,
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises,
SMCS(48), No. 10, October 2018, pp. 1715-1724.
IEEE DOI 1809
Manipulators, Neural networks, Robot kinematics, Real-time systems, Redundancy, Trajectory, Distributed control, kinematic control, redundancy resolution BibRef

Ross, P.E.,
Iceland's consumers try drone delivery: The startup Aha takes on Amazon with basic drones bearing burgers,
Spectrum(55), No. 10, October 2018, pp. 12-13.
IEEE DOI 1810
[News]. Drones, Food packaging, Packaging, Consumer electronics BibRef

Liu, W.[Wei], Li, Z.H.[Zhi-Heng],
Comprehensive predictive control method for automated vehicles in dynamic traffic circumstances,
IET-ITS(12), No. 10, December 2018, pp. 1455-1463.
DOI Link 1812
BibRef

Ross, P.E.,
Taxis without drivers-or steering wheels,
Spectrum(56), No. 01, January 2019, pp. 33-34.
IEEE DOI 1901
Automotive engineering, Companies, Autonomous automobiles, Unmanned autonomous vehicles, Autonomous vehicles BibRef

Yang, S., Wang, W., Liu, C., Deng, W.,
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles,
SMCS(49), No. 1, January 2019, pp. 53-63.
IEEE DOI 1901
Feature extraction, Visualization, Autonomous vehicles, Deconvolution, Roads, Training, Autonomous vehicles, scene understanding BibRef

Ni, J., Hu, J., Xiang, C.,
An AWID and AWIS X-By-Wire UGV: Design and Hierarchical Chassis Dynamics Control,
ITS(20), No. 2, February 2019, pp. 654-666.
IEEE DOI 1902
Vehicle dynamics, Wheels, Task analysis, Dynamics, Roads, Force, Tires, Unmanned ground vehicle, mobile robot, X-by-wire, robust control BibRef

Schneider, D.,
Regulators seek ways to down rogue drones: Growing antidrone industry offers radar, remote ID, and other tools,
Spectrum(56), No. 04, April 2019, pp. 10-11.
IEEE DOI 1904
[News] BibRef

Li, B.Q.[Bao-Quan], Zhang, X.B.[Xue-Bo], Fang, Y.C.[Yong-Chun], Shi, W.[Wuxi],
Visual Servoing of Wheeled Mobile Robots Without Desired Images,
Cyber(49), No. 8, August 2019, pp. 2835-2844.
IEEE DOI 1905
Mobile robots, Visual servoing, Visualization, Robot kinematics, Task analysis, Manipulators, Adaptive control, concurrent learning, visual servoing BibRef

Zhang, X.[Xuebo], Wang, R.H.[Run-Hua], Fang, Y.C.[Yong-Chun], Li, B.Q.[Bao-Quan], Ma, B.J.[Bo-Jun],
Acceleration-Level Pseudo-Dynamic Visual Servoing of Mobile Robots With Backstepping and Dynamic Surface Control,
SMCS(49), No. 10, October 2019, pp. 2071-2081.
IEEE DOI 1909
Mobile robots, Acceleration, Visual servoing, Kinematics, Backstepping, Visualization, Acceleration level, backstepping, visual servoing BibRef

Yin, C.H.[Cheng-Hao], Li, B.Q.[Bao-Quan], Shi, W.[Wuxi], Sun, N.[Ning],
Visual Servoing of Wheeled Mobile Robots Under Dynamic Environment,
CVS17(37-46).
Springer DOI 1711
BibRef

Li, X., Wang, K., Tian, Y., Yan, L., Deng, F., Wang, F.,
The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research,
ITS(20), No. 6, June 2019, pp. 2072-2084.
IEEE DOI 1906
Semantics, Computational modeling, Image segmentation, Automation, Object detection, Solid modeling, virtual dataset BibRef

Schouten, G., Steckel, J.,
Principles of Biological Echolocation Applied to Radar Sensing: Applying biomimetic sensors to achieve autonomous navigation,
SPMag(36), No. 4, July 2019, pp. 98-111.
IEEE DOI 1907
Radar, Robot sensing systems, Radar antennas, Receivers, Frequency modulation BibRef

Chen, S.,
Multimedia for Autonomous Driving,
MultMedMag(26), No. 3, July 2019, pp. 5-8.
IEEE DOI 1909
Autonomous automobiles, Autonomous vehicles, Automobiles, Road traffic, Sensors, Deep learning, Computational modeling BibRef

Chen, G.[Guang], Liu, S.[Shu], Ren, K.[Kejia], Qu, Z.N.[Zhong-Nan], Fu, C.H.[Chang-Hong], Hinz, G.[Gereon], Knoll, A.[Alois],
Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture,
IET-ITS(13), No. 10, October 2019, pp. 1468-1474.
DOI Link 1909
BibRef

Ham, S.[Sungil], Im, J.[Junhyuck], Kim, M.J.[Min-Jun], Cho, K.[Kuk],
Construction and Verification of a High-Precision Base Map for an Autonomous Vehicle Monitoring System,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Cui, L.[Liu], Wei, Y.[Yan], Wang, Y.[Yueying],
Finite-time trajectory tracking control for autonomous airships with uncertainties and external disturbances,
IET-ITS(14), No. 5, May 2020, pp. 440-448.
DOI Link 2005
BibRef

Qin, H.[Hongde], Li, C.P.[Cheng-Peng], Sun, Y.C.[Yan-Chao],
Adaptive neural network-based fault-tolerant trajectory-tracking control of unmanned surface vessels with input saturation and error constraints,
IET-ITS(14), No. 5, May 2020, pp. 356-363.
DOI Link 2005
BibRef

Zhou, W.X.[Wei-Xiang], Zhou, P.F.[Ping-Fang], Wei, Y.[Yan], Duan, D.P.[Deng-Ping],
Finite-time spatial path following control for a robotic underactuated airship,
IET-ITS(14), No. 5, May 2020, pp. 449-454.
DOI Link 2005
BibRef

Tian, Y.L.[Yan-Ling], Du, Y.[Yubo], Zhang, Q.[Qieshi], Cheng, J.[Jun], Yang, Z.[Zhuo],
Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network,
IET-ITS(14), No. 5, May 2020, pp. 338-345.
DOI Link 2005
BibRef

Nam, C., Walker, P., Li, H., Lewis, M., Sycara, K.,
Models of Trust in Human Control of Swarms With Varied Levels of Autonomy,
HMS(50), No. 3, June 2020, pp. 194-204.
IEEE DOI 2005
Task analysis, Robot sensing systems, Robot kinematics, Predictive models, Automation, Computational modeling, trust BibRef

Chien, S., Lewis, M., Sycara, K., Kumru, A., Liu, J.,
Influence of Culture, Transparency, Trust, and Degree of Automation on Automation Use,
HMS(50), No. 3, June 2020, pp. 205-214.
IEEE DOI 2005
Automation, Thermostats, Cultural differences, Face, Furnaces, Task analysis, Temperature measurement, Automation transparency, trust in automation BibRef

Bhaskara, A., Skinner, M., Loft, S.,
Agent Transparency: A Review of Current Theory and Evidence,
HMS(50), No. 3, June 2020, pp. 215-224.
IEEE DOI 2005
Task analysis, Automation, Autonomous agents, Robot sensing systems, Australia, Aircraft, Automation, unmanned autonomous vehicles BibRef

Roth, G., Schulte, A., Schmitt, F., Brand, Y.,
Transparency for a Workload-Adaptive Cognitive Agent in a Manned-Unmanned Teaming Application,
HMS(50), No. 3, June 2020, pp. 225-233.
IEEE DOI 2005
Task analysis, Planning, Helicopters, Tools, Proposals, Man-machine systems, Automation, Adaptive associate systems, transparency BibRef

Matthews, G., Lin, J., Panganiban, A.R., Long, M.D.,
Individual Differences in Trust in Autonomous Robots: Implications for Transparency,
HMS(50), No. 3, June 2020, pp. 234-244.
IEEE DOI 2005
Cognitive science, Robot kinematics, Tools, Task analysis, Automation, Psychology, Autonomous systems, individual differences, trust BibRef

Stowers, K., Kasdaglis, N., Rupp, M.A., Newton, O.B., Chen, J.Y.C., Barnes, M.J.,
The IMPACT of Agent Transparency on Human Performance,
HMS(50), No. 3, June 2020, pp. 245-253.
IEEE DOI 2005
Decision making, Uncertainty, Task analysis, Calibration, Atmospheric measurements, Particle measurements, Time factors, workload BibRef

Wright, J.L., Chen, J.Y.C., Lakhmani, S.G.,
Agent Transparency and Reliability in Human-Robot Interaction: The Influence on User Confidence and Perceived Reliability,
HMS(50), No. 3, June 2020, pp. 254-263.
IEEE DOI 2005
Reliability, Robots, Task analysis, Monitoring, Object detection, Cognition, Decision making, Agent transparency, confidence, trust BibRef

Vered, M., Howe, P., Miller, T., Sonenberg, L., Velloso, E.,
Demand-Driven Transparency for Monitoring Intelligent Agents,
HMS(50), No. 3, June 2020, pp. 264-275.
IEEE DOI 2005
Task analysis, Cognition, Monitoring, Intelligent agents, Robots, Predictive models, Australia, Decision support systems, intelligent systems BibRef

Guo, J., Kurup, U., Shah, M.,
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving,
ITS(21), No. 8, August 2020, pp. 3135-3151.
IEEE DOI 2008
Roads, Autonomous vehicles, Measurement, Autonomous automobiles, Task analysis, Meteorology, Autonomous driving, traffic hazards BibRef

Huang, X.Y.[Xin-Yu], Wang, P.[Peng], Cheng, X.J.[Xin-Jing], Zhou, D.F.[Ding-Fu], Geng, Q.C.[Qi-Chuan], Yang, R.G.[Rui-Gang],
The ApolloScape Open Dataset for Autonomous Driving and Its Application,
PAMI(42), No. 10, October 2020, pp. 2702-2719.
IEEE DOI 2009
Dataset, Autonomous Driving. Semantics, Task analysis, Videos, Labeling, Image segmentation, 3D understanding BibRef

Huang, X.Y.[Xin-Yu], Cheng, X.J.[Xin-Jing], Geng, Q.C.[Qi-Chuan], Cao, B., Zhou, D.F.[Ding-Fu], Wang, P., Lin, Y., Yang, R.G.[Rui-Gang],
The ApolloScape Dataset for Autonomous Driving,
AutoDrive18(1067-10676)
IEEE DOI 1812
Videos, Labeling, Semantics, Cameras, Pipelines BibRef

Ackerman, E., Guizzo, E.,
A robot that keeps it simple: Hello robot wants to reinvent how autonomous machines perform tasks at home,
Spectrum(57), No. 10, October 2020, pp. 11-11.
IEEE DOI 2009
Robot sensing systems, Service robots, Buildings, Medical services, Manipulators, Task analysis BibRef

How robots became essential workers: They disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients,
Spectrum(57), No. 10, October 2020, pp. 36-43.
IEEE DOI 2009
News article Hospitals, Task analysis, Pathogens, Cameras, Robot vision systems BibRef

Kiani, A.[Arash], Mashhadi, S.K.M.[Seyed Kamaleddin Mousavi],
Adaptive robust control of a four-cable-driven parallel robot,
IJCVR(10), No. 5, 2020, pp. 465-488.
DOI Link 2011
BibRef

Zheng, Y., Brudnak, M.J., Jayakumar, P., Stein, J.L., Ersal, T.,
Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs,
HMS(50), No. 6, December 2020, pp. 561-572.
IEEE DOI 2011
Human in the loop, Predictive models, Land vehicles, Unmanned vehicles, Simulation, Military vehicles, unmanned ground vehicles (UGVs) BibRef

Panwar, S.,
Breaking the millisecond barrier: Robots and self-driving cars will need completely reengineered networks,
Spectrum(57), No. 11, November 2020, pp. 44-49.
IEEE DOI 2011
Delays, Bandwidth, Internet, Wireless fidelity, Robots, Videos, 5G mobile communication BibRef

Hu, Y.[Yuan], Shum, H.P.H.[Hubert P. H.], Ho, E.S.L.[Edmond S. L.],
Multi-task deep learning with optical flow features for self-driving cars,
IET-ITS(14), No. 13, 15 December 2020, pp. 1845-1854.
DOI Link 2102
BibRef

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SteeringLoss: A Cost-Sensitive Loss Function for the End-to-End Steering Estimation,
ITS(22), No. 2, February 2021, pp. 1104-1113.
IEEE DOI 2102
Estimation, Training, Task analysis, Autonomous vehicles, Learning systems, Path planning, Imbalanced training, SteeringLoss, autonomous driving BibRef

Fang, B.[Baofu], Mei, G.F.[Gao-Fei], Yuan, X.H.[Xiao-Hui], Wang, L.[Le], Wang, Z.[Zaijun], Wang, J.Y.[Jun-Yang],
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Elsevier DOI 2103
COVID-19 pandemic, Visual SLAM, Dynamic scenes, Semantic descriptors, Knowledge graph BibRef

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An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware,
ITS(22), No. 3, March 2021, pp. 1718-1732.
IEEE DOI 2103
Autonomous vehicles, Autonomous automobiles, Automobiles, Real-time systems, Machine learning, Companies, Hardware, intelligent transportation systems BibRef

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Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models,
ITS(22), No. 6, June 2021, pp. 3372-3386.
IEEE DOI 2106
Data models, Vehicle dynamics, Adaptation models, Probabilistic logic, Vehicles, Self-awareness, deep generative models BibRef

Chang, S.P.[Shao-Ping], Wang, Y.J.[Yi-Jing], Zuo, Z.Q.[Zhi-Qiang],
Fixed-Time Active Disturbance Rejection Control and Its Application to Wheeled Mobile Robots,
SMCS(51), No. 11, November 2021, pp. 7120-7130.
IEEE DOI 2110
Observers, Convergence, Mobile robots, Robust control, Nonlinear systems, Uncertainty, Tuning, wheeled mobile robot (WMR) BibRef

Krzysiak, R.[Rafal], Butail, S.[Sachit],
Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge,
HMS(52), No. 1, February 2022, pp. 52-63.
IEEE DOI 2201
Robots, Robot sensing systems, Uncertainty, Particle measurements, Atmospheric measurements, Probability density function, teleoperation BibRef

Shi, Z.Q.[Zhu-Qing], Chen, H.[Hong], Qu, T.[Ting], Yu, S.Y.[Shu-You],
Human-Machine Cooperative Steering Control Considering Mitigating Human-Machine Conflict Based on Driver Trust,
HMS(52), No. 5, October 2022, pp. 1036-1048.
IEEE DOI 2209
Vehicles, Vehicle safety, Control systems, Correlation, Attitude control, Torque, Switches, Driver trust, model predictive control (MPC) BibRef

Kotseruba, I.[Iuliia], Tsotsos, J.K.[John K.],
Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets,
ITS(23), No. 11, November 2022, pp. 19907-19928.
IEEE DOI 2212
Vehicles, Task analysis, Visualization, Recording, Accidents, Monitoring, Visual attention, driving, gaze prediction, review BibRef

Li, X.F.[Xue-Fang], Liu, C.Y.[Cheng-Yuan], Chen, B.[Boli], Jiang, J.J.[Jing-Jing],
Robust Adaptive Learning-Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments,
ITS(23), No. 11, November 2022, pp. 20798-20809.
IEEE DOI 2212
Uncertainty, Vehicle dynamics, Convergence, Adaptation models, Robustness, Autonomous vehicles, Adaptive learning, convergence analysis BibRef

Liu, X.[Xiang], Wu, Y.Q.[Yuan-Qing],
Research on Vision of Intelligent Car Based on Broad Learning System,
Cyber(53), No. 8, August 2023, pp. 4805-4814.
IEEE DOI 2307
Wheels, Feature extraction, Target recognition, Image recognition, Cameras, Kinematics, Training, Broad learning system (BLS), intelligent car BibRef

Ayoub, J.[Jackie], Avetisian, L.[Lilit], Yang, X.J.[X. Jessie], Zhou, F.[Feng],
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IEEE DOI 2312
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IEEE DOI 2407
Sensitivity, Task analysis, Autonomous vehicles, Training, Representation learning, Feature extraction, state representation BibRef

Kothandaraman, D.[Divya], Chandra, R.[Rohan], Manocha, D.[Dinesh],
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments,
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IEEE DOI 2112
Visualization, Image segmentation, Roads, Semantics, Neural networks BibRef

Tsushima, F., Kishimoto, N., Okada, Y., Che, W.,
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PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings,
ICCV19(2821-2830)
IEEE DOI 2004
multi-agent systems, remotely operated vehicles, road vehicles, visual multiagent settings, autonomous vehicles, roads, Zirconium BibRef

Barsi, A., Csepinszky, A., Krausz, N., Neuberger, H., Poto, V., Tihanyi, V.,
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Learn robot control strategy. image classification, learning (artificial intelligence), neural nets, robot vision, Attentional Classifier, GPLAC, Visualization BibRef

Kim, J.[Jinkyu], Canny, J.[John],
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention,
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automobiles, control engineering computing, convolution, image filtering, learning (artificial intelligence), Visualization BibRef

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decentralised control, multi-agent systems, quality of service, remotely operated vehicles, QoS, automatic features, autonomous vehicular system, behavior simulation, BibRef

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MVA15(325-328)
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Micro Air Vehicle BibRef

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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
ALV, Autonomous Vehicles, Robotic Systems or Vehicles, Autonomous Robots .