15.3.1.2 Specific Systems, Working Autonomous Vehicles

Chapter Contents (Back)
Autonomous Vyehicles. Autonomous Vehicle, Systems. More about the vehicle iteslf, not the software to run it.
See also Routing for Delivery, Multiple Delivery Vehicles, Logistics.

McCarthy, J., Earnest, L.E., Reddy, D.R., Vicens, P.J.,
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Harmon, S.Y.,
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AI(114), No. 1-2, October 1999, pp. 95-124.
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Krotkov, E., Hebert, M., Henriksen, L., Levin, P., Maimone, M.W., Simmons, R., Teza, J.,
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Bajracharya, M.[Max], Maimone, M.W.[Mark W.], Helmick, D.[Daniel],
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IEEE DOI 0812
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Zobel, M.[Matthias], Denzler, J.[Joachim], Heigl, B.[Benno], Nöth, E.[Elmar], Paulus, D.[Dietrich], Schmidt, J.[Jochen], Stemmer, G.[Georg],
MOBSY: Integration of Vision and Dialogue in Service Robots,
MVA(14), No. 1, 2003, pp. 26-34.
Springer DOI 0304
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Earlier: CVS01(50-62).
Springer DOI
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Vincze, M.[Markus], Ayromlou, M.[Minu], Beltran, C.[Carlos], Gasteratos, A.[Antonios], Hoffgaard, S.[Simon], Madsen, O.[Ole], Ponweiser, W.[Wolfgang], Zillich, M.[Michael],
A System to Navigate a Robot into a Ship Structure,
MVA(14), No. 1, 2003, pp. 15-25.
Springer DOI 0304
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Earlier: CVS01(268-283).
Springer DOI 0106
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Sotelo, M.A., Rodriguez, F.J., Magdalena, L.,
VIRTUOUS: vision-based road transportation for unmanned operation on urban-like scenarios,
ITS(5), No. 2, June 2004, pp. 69-83.
IEEE Abstract. 0501
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Thakoor, S., Morookian, J.M., Chahl, J., Hine, B., Zornetzer, S.,
BEES: exploring Mars with bioinspired technologies,
Computer(37), No. 9, September 2004, pp. 38-47.
IEEE DOI 0409
Swarm of vision controlled robots BibRef

Xia, T., Yang, M., Yang, R., Wang, C.,
CyberC3: A Prototype Cybernetic Transportation System for Urban Applications,
ITS(11), No. 1, March 2010, pp. 142-152.
IEEE DOI 1003
Overall system for automated control. BibRef

Broggi, A., Cappalunga, A., Caraffi, C., Cattani, S., Ghidoni, S., Grisleri, P., Porta, P.P., Posterli, M., Zani, P.,
TerraMax Vision at the Urban Challenge 2007,
ITS(11), No. 1, March 2010, pp. 194-205.
IEEE DOI 1003
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Goth, G.[Gregory],
I, Domestic Robot,
CACM(54), No. 5, may 2011, pp. 16-17.
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Geiger, A., Lauer, M., Moosmann, F., Ranft, B., Rapp, H., Stiller, C., Ziegler, J.,
Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge,
ITS(13), No. 3, September 2012, pp. 1008-1017.
IEEE DOI 1209
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Tas, Ö.S.[Ömer Sahin], Salscheider, N.O.[Niels Ole], Poggenhans, F.[Fabian], Wirges, S.[Sascha], Bandera, C.[Claudio], Zofka, M.R.[Marc René], Strauss, T.[Tobias], Zöllner, J.M.[J. Marius], Stiller, C.[Christoph],
Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge,
ITS(19), No. 4, April 2018, pp. 1262-1276.
IEEE DOI 1804
Cameras, Computers, Hardware, Planning, Robot sensing systems, Software, Software algorithms, Automated driving, vehicle-to-x (V2X) communication BibRef

Mortensson, J., Alam, A., Behere, S., Khan, M.A.A., Kjellberg, J., Liang, K-Y., Pettersson, H., Sundman, D.,
The Development of a Cooperative Heavy-Duty Vehicle for the GCDC 2011: Team Scoop,
ITS(13), No. 3, September 2012, pp. 1033-1049.
IEEE DOI 1209
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Rehak, M.[Martin], Mabillard, R.[Romain], Skaloud, J.[Jan],
A Micro Aerial Vehicle with Precise Position and Attitude Sensors,
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Schneider, D.,
Flying selfie bots,
Spectrum(52), No. 1, January 2015, pp. 49-51.
IEEE DOI 1502
FAA BibRef

The Big Picture: This hotel is staffed by robots,
Spectrum(52), No. 10, October 2015, pp. 18-19.
IEEE DOI 1511
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Kugler, L.[Logan],
Real-World Applications for Drones,
CACM(62), No. 11, November 2019, pp. 19-21.
DOI Link 1911
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Ross, P.E.,
Self-driving tech for non-cars: From mall shuttles to monster trucks, Perrone Robotics is ready to debut its self-driving tech-[News],
Spectrum(56), No. 3, March 2019, pp. 9-10.
IEEE DOI 1904
earthmoving equipment, mobile robots, road vehicles, mall shuttles, monster trucks, Perrone Robotics, self-driving technology BibRef

Sawadsitang, S., Niyato, D., Tan, P., Wang, P.,
Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach,
ITS(20), No. 6, June 2019, pp. 2241-2254.
IEEE DOI 1906
Drones, Optimization, Planning, Stochastic processes, Uncertainty, Electric breakdown, Reliability, Ground-based delivery, breakdown BibRef

Wang, Y.[Yexin], Wan, W.H.[Wen-Hui], Gou, S.[Sheng], Peng, M.[Man], Liu, Z.Q.[Zhao-Qin], Di, K.C.[Kai-Chang], Li, L.C.[Li-Chun], Yu, T.Y.[Tian-Yi], Wang, J.[Jia], Cheng, X.[Xiao],
Vision-Based Decision Support for Rover Path Planning in the Chang'e-4 Mission,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Frumer, Y.,
The short, strange life of the first friendly robot: Japan's Gakutensoku was a giant pneumatic automaton that toured through Asia - until it mysteriously disappeared,
Spectrum(57), No. 6, June 2020, pp. 42-48.
IEEE DOI 2006
Robot sensing systems, Urban areas, Humanoid robots, Evolution (biology), Motion pictures BibRef

Azam, S.[Shoaib], Munir, F.[Farzeen], Rafique, M.A.[Muhammad Aasim], Sheri, A.M.[Ahmad Muqeem], Hussain, M.I.[Muhammad Ishfaq], Jeon, M.[Moongu],
N2C: Neural Network Controller Design Using Behavioral Cloning,
ITS(22), No. 7, July 2021, pp. 4744-4756.
IEEE DOI 2107
Autonomous vehicles, Planning, Neural networks, Brakes, Cloning, Sensors, Prediction algorithms, Autonomous vehicle control, controller area network (CAN) BibRef

Zheng, J.T.[Jiang-Tao], Li, S.[Sihai], Liu, S.M.[Shi-Ming], Fu, Q.W.[Qiang-Wen],
Research on the Shearer Positioning Method Based on SINS and LiDAR with Velocity and Absolute Position Constraints,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Jones, W.D.[Willie D.],
A Roomba for Rivers,
Spectrum(59), No. 5, May 2022, pp. 14-15.
IEEE DOI 2205
Autonomous systems BibRef

Chen, J.Y.[Jian-Yu], Li, S.E.[Shengbo Eben], Tomizuka, M.[Masayoshi],
Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning,
ITS(23), No. 6, June 2022, pp. 5068-5078.
IEEE DOI 2206
Autonomous vehicles, Reinforcement learning, Probabilistic logic, Roads, Task analysis, Autonomous automobiles, Graphical models, interpretability BibRef

Liu, M.[Meng], Zhao, F.[Fei], Yin, J.[Jialun], Niu, J.W.[Jian-Wei], Liu, Y.[Yu],
Reinforcement-Tracking: An Effective Trajectory Tracking and Navigation Method for Autonomous Urban Driving,
ITS(23), No. 7, July 2022, pp. 6991-7007.
IEEE DOI 2207
Trajectory, Reinforcement learning, Trajectory tracking, Roads, Navigation, Autonomous vehicles, Training, Reinforcement learning, autonomous driving BibRef

Chen, M.[Mou], Yan, K.[Kun], Wu, Q.X.[Qing-Xian],
Multiapproximator-Based Fault-Tolerant Tracking Control for Unmanned Autonomous Helicopter With Input Saturation,
SMCS(52), No. 9, September 2022, pp. 5710-5722.
IEEE DOI 2208
Actuators, Helicopters, Backstepping, Fault tolerant systems, Fault tolerance, Rotors, Couplings, Disturbance observer, unmanned autonomous helicopter BibRef

Han, T.[Teawon], Nageshrao, S.P.[Subramanya P.], Filev, D.[Dimitar], Redmill, K.[Keith], Özgüner, Ü.[Ümit],
An Online Evolving Method For a Safe and Fast Automated Vehicle Control System,
SMCS(52), No. 9, September 2022, pp. 5723-5735.
IEEE DOI 2208
Markov processes, Hidden Markov models, Decision making, Control systems, Data models, Standards, Companies, reinforcement learning (RL) BibRef

Hao, L.Y.[Li-Ying], Yu, Y.[Ying], Li, T.S.[Tie-Shan], Li, H.[Hui],
Quantized Output-Feedback Control for Unmanned Marine Vehicles With Thruster Faults via Sliding-Mode Technique,
Cyber(52), No. 9, September 2022, pp. 9363-9376.
IEEE DOI 2208
Attitude control, Quantization (signal), Vehicle dynamics, Marine vehicles, Feedback control, Velocity measurement, unmanned marine vehicles (UMVs) BibRef

Hao, L.Y.[Li-Ying], Zhang, Y.Q.[Yu-Qing], Shen, C.[Chao], Xu, F.Q.[Feng-Qiu],
Fault-Tolerant Control for Unmanned Marine Vehicles via Quantized Integral Sliding Mode Output Feedback Technique,
ITS(24), No. 5, May 2023, pp. 5014-5023.
IEEE DOI 2305
Attitude control, Quantization (signal), Fault tolerant systems, Fault tolerance, Output feedback, Vehicle dynamics, Robustness, unmanned marine vehicles BibRef

Ahmed, M.[Marwa], Abobakr, A.[Ahmed], Lim, C.P.[Chee Peng], Nahavandi, S.[Saeid],
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning,
ITS(23), No. 8, August 2022, pp. 12562-12571.
IEEE DOI 2208
Affordances, Training, Autonomous vehicles, Urban areas, Task analysis, Predictive models, Planning, Autonomous driving, deep deterministic policy gradient BibRef

Ye, Z.[Zehua], Zhang, D.[Dan], Wu, Z.G.[Zheng-Guang], Yan, H.C.[Huai-Cheng],
A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks,
ITS(23), No. 8, August 2022, pp. 12921-12934.
IEEE DOI 2208
Mathematical models, Marine vehicles, Nonlinear dynamical systems, Vehicle dynamics, Robust control, A3C algorithm BibRef

Wang, W.[Weida], Zhang, Y.H.[Yu-Hang], Yang, C.[Chao], Qie, T.Q.[Tian-Qi], Ma, M.Y.[Ming-Yue],
Adaptive Model Predictive Control-Based Path Following Control for Four-Wheel Independent Drive Automated Vehicles,
ITS(23), No. 9, September 2022, pp. 14399-14412.
IEEE DOI 2209
Tires, Vehicle dynamics, Uncertainty, Adaptation models, Wheels, Uncertain systems, Predictive control, Automated vehicles, four-wheel independent drive BibRef

Yuan, W.[Wei], Zhuang, H.Y.[Han-Yang], Wang, C.X.[Chun-Xiang], Yang, M.[Ming],
AGBM: An Adaptive Gradient Balanced Mechanism for the End-to-End Steering Estimation,
ITS(23), No. 9, September 2022, pp. 16016-16025.
IEEE DOI 2209
Estimation, Task analysis, Training, Adaptation models, Autonomous vehicles, Service robots, Transportation, autonomous driving BibRef

Liang, Y.X.[Yi-Xiao], Li, Y.[Yinong], Khajepour, A.[Amir], Huang, Y.J.[Yan-Jun], Qin, Y.[Yechen], Zheng, L.[Ling],
A Novel Combined Decision and Control Scheme for Autonomous Vehicle in Structured Road Based on Adaptive Model Predictive Control,
ITS(23), No. 9, September 2022, pp. 16083-16097.
IEEE DOI 2209
Autonomous vehicles, Planning, Robots, Vehicles, Tracking, Roads, Vehicle dynamics, Autonomous vehicles, motion decision, adaptive model predictive control BibRef

Lv, Z.H.[Zhi-Han], Qiao, L.[Liang], Yang, S.[Shuo], Li, J.H.[Jin-Hua], Lv, H.B.[Hai-Bin], Picciall, F.[Francesco],
Memory-augmented neural networks based dynamic complex image segmentation in digital twins for self-driving vehicle,
PR(132), 2022, pp. 108956.
Elsevier DOI 2209
Deep learning, Image segmentation, Memory-augmented neural networks, LSTM, Self-driving, Digital twins BibRef

Natan, O.[Oskar], Miura, J.[Jun],
Towards Compact Autonomous Driving Perception With Balanced Learning and Multi-Sensor Fusion,
ITS(23), No. 9, September 2022, pp. 16249-16266.
IEEE DOI 2209
Laser radar, Task analysis, Point cloud compression, Feature extraction, Autonomous vehicles, Cameras, Semantics, adaptive loss weighting BibRef

Zhao, J.[Jing], Li, W.F.[Wen-Feng], Hu, C.[Chuan], Guo, G.[Ge], Xie, Z.C.[Zheng-Chao], Wong, P.K.[Pak Kin],
Robust Gain-Scheduling Path Following Control of Autonomous Vehicles Considering Stochastic Network-Induced Delay,
ITS(23), No. 12, December 2022, pp. 23324-23333.
IEEE DOI 2212
Delays, Vehicle dynamics, Tires, Stochastic processes, Autonomous vehicles, Behavioral sciences, Automation, linear parameter varying BibRef

Du, Z.[Zhe], Negenborn, R.R.[Rudy R.], Reppa, V.[Vasso],
Multi-Objective Cooperative Control for a Ship-Towing System in Congested Water Traffic Environments,
ITS(23), No. 12, December 2022, pp. 24318-24329.
IEEE DOI 2212
Marine vehicles, Velocity control, Surges, Trajectory, Predictive models, Kinetic theory, Attitude control, multi-vessel ship-towing system BibRef

Liu, P.[Peng], Zhang, C.[Chufeng], Qi, H.[Hao], Wang, G.Y.[Guo-Yu], Zheng, H.Y.[Hai-Yong],
Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems,
ITS(23), No. 12, December 2022, pp. 25396-25407.
IEEE DOI 2212
Scattering, Imaging, Image restoration, Deep learning, Image color analysis, Degradation, Autonomous vehicles, underwater image enhancement BibRef

Deng, Y.J.[Ying-Jie], Zhang, Z.[Zhuxin], Gong, M.[Mingde], Ni, T.[Tao],
Event-Triggered Asymptotic Tracking Control of Underactuated Ships With Prescribed Performance,
ITS(24), No. 1, January 2023, pp. 645-656.
IEEE DOI 2301
Marine vehicles, Uncertainty, Tracking, Nonlinear systems, Adaptive systems, Artificial neural networks, Task analysis, prescribed performance control BibRef

Yin, L.C.[Low Chun], Saruchi, S.A.[Sarah Atifah], Tze, O.H.[Ong Hong], Xin, C.Y.[Chew Ying], Wei, C.H.[Chong Han], Seng, J.L.L.[Jonathan Lam Lit],
Application of digit and speech recognition in food delivery robot,
IJCVR(13), No. 3, 2023, pp. 247-258.
DOI Link 2305
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Li, Y.Z.[Yuan-Zhe], Ni, J.[Jun], Hu, J.[Jibin],
Overall architecture and system design of shuttle unmanned ground vehicle with road verification in intelligent transportation system zone,
IET-ITS(17), No. 7, 2023, pp. 1275-1287.
DOI Link 2307
Automotive engineering, autonomous driving, intelligent transportation systems BibRef

Li, D.F.[Dong-Fang], Zhang, B.X.[Bin-Xin], Li, P.[Ping], Wu, E.Q.[Edmond Q.], Law, R.[Rob], Xu, X.[Xin], Song, A.[Aiguo], Zhu, L.M.[Li-Min],
Parameter Estimation and Anti-Sideslip Line-of-Sight Method-Based Adaptive Path-Following Controller for a Multijoint Snake Robot,
SMCS(53), No. 8, August 2023, pp. 4776-4788.
IEEE DOI 2307
Friction, Robot kinematics, Interference, Adaptation models, Snake robots, Time-varying systems, Torque, path-following errors BibRef

Ackerman, E.[Evan],
'Superhuman Speed': How Autonomous Drones Beat the Best Human Racers,
Spectrum(60), No. 9, September 2023, pp. 30-37.
IEEE DOI 2310
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Su, X.J.[Xiao-Jie], Qing, F.[Fandi], Chang, H.B.[Hong-Bin], Wang, S.[Shuoyu],
Trajectory Tracking Control of Human Support Robots via Adaptive Sliding-Mode Approach,
Cyber(54), No. 3, March 2024, pp. 1747-1754.
IEEE DOI 2402
Robots, Uncertainty, Disturbance observers, Trajectory tracking, Gravity, Convergence, Vibrations, Adaptive control, sliding-mode control (SMC) BibRef

Jin, Y.L.[Yan-Liang], Ji, Z.Y.[Ze-Yu], Zeng, D.[Dan], Zhang, X.P.[Xiao-Ping],
VWP: An Efficient DRL-Based Autonomous Driving Model,
MultMed(26), 2024, pp. 2096-2108.
IEEE DOI 2402
Training, Feature extraction, Autonomous vehicles, Generative adversarial networks, Reinforcement learning, wasserstein generative adversarial network BibRef

Leung, B.[Binggwong], Billeschou, P.[Peter], Manoonpong, P.[Poramate],
Integrated Modular Neural Control for Versatile Locomotion and Object Transportation of a Dung Beetle-Like Robot,
Cyber(54), No. 4, April 2024, pp. 2062-2075.
IEEE DOI 2403
Legged locomotion, Robots, Transportation, Robot sensing systems, Neurons, Modulation, Pallets, Bioinspired robots, walking robots BibRef

Jiang, S.[Saibiao], Fan, J.A.[Jian-An], Sun, Z.J.[Zhi-Jin], Deng, B.[Baoru],
An Anti-epidemic Delivery Trolley based on YOLOv5 Image Recognition of Room Numbers and QR Codes,
CVIDL23(9-12)
IEEE DOI 2403
Epidemics, Image recognition, Codes, Filtering, Shape, Government, Influenza, YOLOv5s, QR code recognition, Room number identification BibRef


Rosano, M.[Marco], Ragusa, F.[Francesco], Furnari, A.[Antonino], Farinella, G.M.[Giovanni Maria],
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Springer DOI 2312
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Vourkos, E.G.[Eleftherios G.], Toulkeridou, E.[Evropi], Kourris, A.[Antreas], Ros, R.J.[Raquel Julia], Christoforou, E.G.[Eftychios G.], Ramdani, N.[Nacim], Panayides, A.S.[Andreas S.],
Safe Robot Navigation in Indoor Healthcare Workspaces,
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Springer DOI 2312
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Berges, V.P.[Vincent-Pierre], Szot, A.[Andrew], Chaplot, D.S.[Devendra Singh], Gokaslan, A.[Aaron], Mottaghi, R.[Roozbeh], Batra, D.[Dhruv], Undersander, E.[Eric],
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second,
CVPR23(13767-13777)
IEEE DOI 2309

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Bahl, S.[Shikhar], Mendonca, R.[Russell], Chen, L.[Lili], Jain, U.[Unnat], Pathak, D.[Deepak],
Affordances from Human Videos as a Versatile Representation for Robotics,
CVPR23(01-13)
IEEE DOI 2309
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Yang, R.[Ruihan], Yang, G.[Ge], Wang, X.L.[Xiao-Long],
Neural Volumetric Memory for Visual Locomotion Control,
CVPR23(1430-1440)
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Lv, C.[Canjiong], Xu, W.X.[Wen-Xia], Yu, B.C.[Bao-Cheng], Luo, L.W.[Li-Wei], Liao, C.[Chuyuan], Yin, S.Y.[Shu-Yuan],
Design and Implementation of ROS-based 5G Operation and Maintenance Center Inspection Robot Navigation System,
ICRVC22(334-339)
IEEE DOI 2301
5G mobile communication, Navigation, Heuristic algorithms, Operating systems, Inspection, Maintenance engineering, A* algorithm BibRef

Ma, X.Y.[Xing-Yu], Wang, H.P.[Hao-Ping], Tian, Y.[Yang], He, D.X.[Ding-Xin],
Adaptive Model-free Control with Supervising Switching Technique for Robotic Manipulator with Actuator Failure,
ICRVC22(329-333)
IEEE DOI 2301
Actuators, Adaptation models, Simulation, Switches, Control systems, Manipulators, Mathematical models, Model-free control, actuator failure BibRef

Looper, S.[Samuel], Waslander, S.L.[Steven L.],
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction,
CRV22(32-39)
IEEE DOI 2301
Analytical models, Adaptation models, Computational modeling, Dynamics, Training data, Predictive models, Data models, Quadrotors, Robotics BibRef

Cui, J.X.[Jia-Xun], Qiu, H.[Hang], Chen, D.[Dian], Stone, P.[Peter], Zhu, Y.[Yuke],
Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles,
CVPR22(17231-17241)
IEEE DOI 2210
Wireless communication, Wireless sensor networks, Ultraviolet sources, Computational modeling, Datasets and evaluation BibRef

Herman, J.[James], Francis, J.[Jonathan], Ganju, S.[Siddha], Chen, B.Q.[Bing-Qing], Koul, A.[Anirudh], Gupta, A.[Abhinav], Skabelkin, A.[Alexey], Zhukov, I.[Ivan], Kumskoy, M.[Max], Nyberg, E.[Eric],
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing,
ICCV21(9773-9782)
IEEE DOI 2203
Measurement, Training, Visualization, Trajectory, Sensors, Task analysis, Vehicle dynamics, Datasets and evaluation, Vision for robotics and autonomous vehicles BibRef

Gade, V.R.[Vishal Reddy], Seth, D.[Deep], Agrawal, M.K.[Manish Kumar], Tamma, B.[Bhaskar],
Development of Autonomous UVC Disinfectant Robot,
DHM21(II:135-151).
Springer DOI 2108
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Delmerico, J., Cieslewski, T., Rebecq, H., Faessler, M., Scaramuzza, D.,
Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset,
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Korean Lunar Lander: Concept Study For Landing-site Selection For Lunar Resource Exploration,
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Molina, P., Fortuny, P., Colomina, I., Remy, M., Macedo, K.A.C., Zúnigo, Y.R.C., Vaz, E., Luebeck, D., Moreira, J., Blázquez, M.,
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Jon, J., Koska, B., Pospíšil, J.,
Autonomous Airship Equipped by Multi-Sensor Mapping Platform,
3DARCH13(119-124).
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Autonomous Vehicle Safety, Evaluation, Analysis .


Last update:Mar 25, 2024 at 16:07:51