Most cited papers in Autonomous Vehicle Technology and Safety
What are the most cited papers in Autonomous Vehicle Technology and Safety?
The most cited paper in Autonomous Vehicle Technology and Safety is "Social LSTM: Human Trajectory Prediction in Crowded Spaces" (Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan et al., 2016), with 3,626 citations. Next come "Scalability in Perception for Autonomous Driving: Waymo Open Dataset" (3,246) and "A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles" (2,635).
Showing 50 of 100 papers. Every paper with more than 663 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Social LSTM: Human Trajectory Prediction in Crowded Spaces Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan et al. | Jun 2016 | 3,626 |
| 2 | Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun et al. | Jun 2020 | 3,246 |
| 3 | A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles Brian A. Paden, Michal Čáp, Sze Zheng Yong et al. · IEEE Transactions on Intelligent Vehicles | Mar 2016 | 2,635 |
| 4 | A behavioural car-following model for computer simulation P G Gipps · Transportation Research Part B Methodological | Apr 1981 | 2,381 |
| 5 | AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles Shital Shah, Debadeepta Dey, Chris Lovett et al. · Springer proceedings in advanced robotics | 2 Nov 2017 | 2,203 |
| 6 | Stanley: The robot that won the DARPA Grand Challenge Sebastian Thrun et al. · Journal of Field Robotics | Sep 2006 | 2,172 |
| 7 | A Theory of Visual Control of Braking Based on Information about Time-to-Collision David N. Lee · Perception | Dec 1976 | 2,108 |
| 8 | Maximum Entropy Inverse Reinforcement Learning Brian D. Ziebart, Andrew L. Maas, James Andrew Bagnell et al. | 2018 | 2,046 |
| 9 | A Survey of Autonomous Driving: Common Practices and Emerging Technologies Ekim Yurtsever, Jacob Lambert, Alexander Carballo et al. · IEEE Access | 2020 | 1,818 |
| 10 | Dueling Network Architectures for Deep Reinforcement Learning Ziyu Wang, Tom Schaul, Matteo Hessel et al. · arXiv (Cornell University) | 20 Nov 2015 | 1,809 |
| 11 | A survey of deep learning techniques for autonomous driving Sorin Mihai Grigorescu, Bogdan Trăsnea, Tiberiu Cocias et al. · Journal of Field Robotics | 14 Nov 2019 | 1,802 |
| 12 | DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving Chenyi Chen, Ari Seff, Alain L. Kornhauser et al. | Dec 2015 | 1,784 |
| 13 | A Review of Motion Planning Techniques for Automated Vehicles David González, Joshué Perez, Vicente Milanés et al. · IEEE Transactions on Intelligent Transportation Systems | 26 Nov 2015 | 1,683 |
| 14 | A tutorial survey on vehicular ad hoc networks Hannes Hartenstein, Kenneth P. Laberteaux · IEEE Communications Magazine | Jun 2008 | 1,624 |
| 15 | Autonomous driving in urban environments: Boss and the Urban Challenge Chris Urmson et al. · Journal of Field Robotics | 23 Jul 2008 | 1,535 |
| 16 | Argoverse: 3D Tracking and Forecasting With Rich Maps Ming-Fang Chang, John Lambert, Patsorn Sangkloy et al. | Jun 2019 | 1,482 |
| 17 | ALVINN, an autonomous land vehicle in a neural network Dean Pomerleau | 30 Jun 2018 | 1,430 |
| 18 | Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng, Christian Schütz, Lars Rosenbaum et al. · IEEE Transactions on Intelligent Transportation Systems | 17 Feb 2020 | 1,426 |
| 19 | The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems Robert Krajewski, Julian Bock, Laurent Kloeker et al. | Nov 2018 | 1,389 |
| 20 | Smart cars on smart roads: problems of control Pravin P. Varaiya · IEEE Transactions on Automatic Control | 1993 | 1,371 |
| 21 | Towards fully autonomous driving: Systems and algorithms Jesse Levinson, Jake Askeland, Jan Becker et al. | Jun 2011 | 1,365 |
| 22 | General Lane-Changing Model MOBIL for Car-Following Models Arne Kesting, Martin Treiber, Dirk Helbing · Transportation Research Record Journal of the Transportation Research Board | 2007 | 1,360 |
| 23 | PIXOR: Real-time 3D Object Detection from Point Clouds Bin Yang, Wenjie Luo, Raquel Urtasun | Jun 2018 | 1,347 |
| 24 | A Multiagent Approach to Autonomous Intersection Management Kurt Dresner, Peter Stone · Journal of Artificial Intelligence Research | 31 Mar 2008 | 1,330 |
| 25 | Car-following: a historical review Mark Brackstone, Mike McDonald · Transportation Research Part F Traffic Psychology and Behaviour | Dec 1999 | 1,288 |
| 26 | Monocular Pedestrian Detection: Survey and Experiments Markus Enzweiler, Dariu M. Gavrila · IEEE Transactions on Pattern Analysis and Machine Intelligence | 28 Oct 2008 | 1,234 |
| 27 | Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Nidhi Kalra, Susan M. Paddock · Transportation Research Part A Policy and Practice | 23 Sep 2016 | 1,188 |
| 28 | A model for the structure of lane-changing decisions P G Gipps · Transportation Research Part B Methodological | Oct 1986 | 1,168 |
| 29 | On-road vehicle detection: a review Zehang Sun, George N. Bebis, Ronald H. Miller · IEEE Transactions on Pattern Analysis and Machine Intelligence | 22 Mar 2006 | 1,151 |
| 30 | Cooperative Adaptive Cruise Control in Real Traffic Situations Vicente Milanés, Steven E Shladover, John Spring et al. · IEEE Transactions on Intelligent Transportation Systems | 30 Aug 2013 | 1,142 |
| 31 | A survey on motion prediction and risk assessment for intelligent vehicles Stéphanie Lefèvre, Dizan Vasquez, Christian Laugier · ROBOMECH Journal | 23 Jul 2014 | 1,130 |
| 32 | Spatial as Deep: Spatial CNN for Traffic Scene Understanding Xingang Pan, Jianping Shi, Ping Luo et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 27 Apr 2018 | 1,114 |
| 33 | Nonlinear Effects in the Dynamics of Car Following Gordon Frank Newell · Operations Research | Apr 1961 | 1,110 |
| 34 | DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee, Wongun Choi, Paul Vernaza et al. | Jul 2017 | 1,085 |
| 35 | Driver crash risk factors and prevalence evaluation using naturalistic driving data Thomas A. Dingus, Feng Guo, Suzie Lee et al. · Proceedings of the National Academy of Sciences | 22 Feb 2016 | 1,059 |
| 36 | Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints Jie Ji, Amir Khajepour, Wael William Melek et al. · IEEE Transactions on Vehicular Technology | 22 Apr 2016 | 1,043 |
| 37 | Where we look when we steer M. F. Land, D. N. Lee · Nature | Jun 1994 | 1,028 |
| 38 | Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation J.C. McCall, Mohan Manubhai Trivedi · IEEE Transactions on Intelligent Transportation Systems | Mar 2006 | 1,025 |
| 39 | Junior: The Stanford entry in the Urban Challenge Michael Montemerlo et al. · Journal of Field Robotics | 25 Aug 2008 | 1,021 |
| 40 | GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection Massimo Bertozzi, Alberto Broggi · IEEE Transactions on Image Processing | 1998 | 1,014 |
| 41 | SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud Bichen Wu, Alvin Wan, Xiangyu Yue et al. | May 2018 | 1,010 |
| 42 | Planning and Decision-Making for Autonomous Vehicles Wilko Schwarting, Javier Alonso–Mora, Daniela L. Rus · Annual Review of Control Robotics and Autonomous Systems | 12 Jan 2018 | 977 |
| 43 | Survey of Pedestrian Detection for Advanced Driver Assistance Systems David Gerónimo, Antonio M. López, Angel Domingo Sappa et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2 Jun 2009 | 974 |
| 44 | VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation Jiyang Gao, Chen Sun, Hang Zhao et al. | Jun 2020 | 966 |
| 45 | Extended time-to-collision measures for road traffic safety assessment Michiel M. Minderhoud, Piet H. L. Bovy · Accident Analysis & Prevention | 2001 | 958 |
| 46 | UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges Hamid Menouar, İsmail Güvenç, Kemal Akkaya et al. · IEEE Communications Magazine | Mar 2017 | 956 |
| 47 | Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G Shanzhi Chen, Jinling Hu, Yan Shi et al. · IEEE Communications Standards Magazine | 2017 | 940 |
| 48 | Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis Sayanan Sivaraman, Mohan Manubhai Trivedi · IEEE Transactions on Intelligent Transportation Systems | 18 Jul 2013 | 916 |
| 49 | Anytime Motion Planning using the RRT* Sertaç Karaman, Matthew R. Walter, Alejandro Colsa Perez et al. | May 2011 | 897 |
| 50 | Planning-oriented Autonomous Driving Yihan Hu, Jiazhi Yang, Li Chen et al. | Jun 2023 | 888 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.