A perception‐driven autonomous urban vehicle

Cited by (429)

Items 201–300 of 429

1. An Object-Tracking Algorithm for 3-D Range Data Using Motion and Surface Estimation
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2. Path Planning and Decision Making for Autonomous Vehicle in Urban Environment
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3. Robust Matching of Occupancy Maps for Odometry in Autonomous Vehicles
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4. Sampling-Based Threat Assessment Algorithms for Intersection Collisions Involving Errant Drivers
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6. A Speed Tracking Method for Autonomous Driving via ADRC with Extended State Observer
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7. A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software
   Qingzhao Zhang, David Ke Hong, Ze Zhang, Qi Alfred Chen, Scott A. Mahlke, Zhuoqing Morley Mao · 2021 · Proceedings of the ACM on Measurement and Analysis of Computing Systems
8. A single sensor system for mapping in GNSS-denied environments
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9. Toward Perception-Driven Urban Environment Modeling for Automated Road Vehicles
   Jens Rieken, Richard Matthaei, Markus Maurer · 2015 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
10. Multi-lane perception using feature fusion based on GraphSLAM
    Alexey Abramov, Christopher Bayer, Claudio Heller, Claudia Loy · 2016 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
11. Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association
    Kuan-Hui Lee, Yusuke Kanzawa, Matthew Derry, Michael R. James · 2018 · IEEE Intelligent Vehicles Symposium
12. Optimization-based Path Planning for an Autonomous Vehicle in a Racing Track
    Saeed Amirfarhangi Bonab, Ali Emadi · 2019 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
13. A Motion Planning Method for Automated Vehicles in Dynamic Traffic Scenarios
    Bo Peng, Dexin Yu, Huxing Zhou, Xue Qing Xiao, Chen Ping Xie · 2022 · Symmetry
14. Effective Range Assessment of Lidar Imaging Systems for Autonomous Vehicles Under Adverse Weather Conditions With Stationary Vehicles
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15. Perception Quality Evaluation with Visual and Infrared Cameras in Challenging Environmental Conditions
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16. Collaborative Planning for Mixed-Autonomy Lane Merging
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17. An object-oriented design of a World Model for autonomous city vehicles
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18. Multi-modal and inertial sensor solutions for navigation-type factor graphs
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19. Motion Planning Using Reactive Circular Fields: A 2-D Analysis of Collision Avoidance and Goal Convergence
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20. Traversability-Based RRT*for Planetary Rover Path Planning in Rough Terrain with LIDAR Point Cloud Data
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21. Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
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22. Probabilistic Collision Risk Estimation for Autonomous Driving: Validation via Statistical Model Checking
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23. SmarterPhones: Anticipatory download scheduling for wireless video streaming
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24. A Set-Based Trajectory Planning Algorithm for a Network Controlled Skid-Steered Tracked Mobile Robot Subject to Skid and Slip Phenomena
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25. Autonomes Fahren
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26. A Tracking System of Multiple LiDAR Sensors Using Scan Point Matching
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27. Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems
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28. Design of a Low-Level Radar and Time-of-Flight Sensor Fusion Framework
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29. The Automation of the Taxi Industry – Taxi Drivers’ Expectations and Attitudes Towards the Future of their Work
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30. AVDM: A hierarchical command-and-control system architecture for cooperative autonomous vehicles in highways scenario using microscopic simulations
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31. End‐to‐end autonomous driving decision model joined by attention mechanism and spatiotemporal features
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32. APF-DPPO: An Automatic Driving Policy Learning Method Based on the Artificial Potential Field Method to Optimize the Reward Function
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33. A path planning algorithm based on fusing lane and obstacle map
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34. Data-Driven State-Increment Statistical Model and Its Application in Autonomous Driving
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35. Connected and Automated Vehicles
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36. Motion-Planning for Unicycles using the Invariant-Set Motion-Planner
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37. Path Planning and Tracking of an Autonomous Car With High Fidelity Vehicle Dynamics Model and Human Driver Trajectories
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38. A Method of Personalized Driving Decision for Smart Car Based on Deep Reinforcement Learning
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39. Coarse-to-Fine Segmentation on LiDAR Point Clouds in Spherical Coordinate and Beyond
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40. An Intelligence Architecture for Grounded Language Communication with Field Robots
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41. Towards fault tolerant perception for autonomous vehicles: Local fusion
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42. Multi-Vehicle Planning using RRT-Connect*
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43. A mobile ground-based radar sensor for detection and tracking of moving objects
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44. Improving the Lane Reference Detection for Autonomous Road Vehicle Control
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45. Combining multiple sensor modalities for a localisation robust to smoke
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46. Graph Neural Network Based Relation Learning for Abnormal Perception Information Detection in Self-Driving Scenarios
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47. Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention Mechanism
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48. Optimal sampling-based Feedback Motion Trees among obstacles for controllable linear systems with linear constraints
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49. A Small and Lightweight Autonomous Laser Mapping System without GPS
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50. Passenger Condition Based Route-Planning for Cognitive Vehicle System
    Hironori Hiraishi · 2018 · International Journal of Software Science and Computational Intelligence
51. Driving Space for Autonomous Vehicles
    Diange Yang, Xinyu Jiao, Kun Jiang, Zhong Liang Cao · 2019 · Automotive Innovation
52. Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
    Zhitao Wang, Yuzheng Zhuang, Qiang Gu, Dong Chen, Hongbo Zhang, Wulong Liu · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
53. A temporally consistent grid-based visual odometry framework for multi-core architectures
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54. Structure-From-Motion in 3D Space Using 2D Lidars
    Dong‐Geol Choi, Yunsu Bok, Jun-Sik Kim, Inwook Shim, In So Kweon · 2017 · Sensors
55. Dream to Drive With Predictive Individual World Model
    Yinfeng Gao, Qichao Zhang, Da‐Wei Ding, Dongbin Zhao · 2024 · IEEE Transactions on Intelligent Vehicles
56. Enhancing Autonomous Driving Decision: A Hybrid Deep Reinforcement Learning-Kinematic-Based Autopilot Framework for Complex Motorway Scenes
    Yongqiang Lu, Hongjie Ma, Edward Smart, Hui Ling Yu · 2025 · IEEE Transactions on Intelligent Transportation Systems
57. A Fast Ground Segmentation Method of LiDAR Point Cloud From Coarse-to-Fine
    Dongbing Guo, Guohui Yang, Baoling Qi, Chunhui Wang · 2022 · IEEE Sensors Journal
58. MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
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59. Multiple Criteria-Based Real-Time Decision Making by Autonomous City Vehicles
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60. Long-horizon Robotic Search and Classification using Sampling-based Motion Planning
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61. The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation
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62. Spatially Clustered Autonomous Vehicle Malware: Producing New Urban Geographies of Inequity
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63. Formal Validation of Probabilistic Collision Risk Estimation for Autonomous Driving
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64. Model predictive tracking controller for a high fidelity vehicle dynamics model
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65. A Computational Geometry Approach for Localization and Tracking in GPS-denied Environments*
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66. Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles
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67. A real-time grid map generation and object classification for ground-based 3D LIDAR data using image analysis techniques
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68. A novel InSAR based off-road positive and negative obstacle detection technique for unmanned ground vehicle
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69. An embedded testbed architecture to evaluate autonomous car driving
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70. Real-time distance estimation and filtering of vehicle headways for smoothing of traffic waves
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71. A Collaborative Decision Making Approach for Multi-Unmanned Combat Vehicles based on the Behaviour Tree
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72. Test and Evaluation of Autonomous Ground Vehicles
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73. Cognitive map-based model: Toward a developmental framework for self-driving cars
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74. A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software
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75. UniAda: Universal Adaptive Multiobjective Adversarial Attack for End-to-End Autonomous Driving Systems
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76. Language Understanding for Field and Service Robots in a Priori Unknown Environments
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77. The MIT – Cornell Collision and Why It Happened
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78. A New Approach to Model-Free Tracking with 2D Lidar
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79. Ground or obstacles? Detecting clear paths in vehicle navigation
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80. Verifying Collision Risk Estimation using Autonomous Driving Scenarios Derived from a Formal Model
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81. Perception in autonomous ground vehicles
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82. An optimal path tracking architecture for automated vehicle
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83. InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
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84. Integrating Action and Reasoning through Simulation
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85. GSAN: Graph Self-Attention Network for Interaction Measurement in Autonomous Driving
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86. Autonomous Driving
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87. Leveraging Multimodal Sensing and Topometric Mapping for Human-Like Autonomous Navigation in Complex Environments
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88. Planning with Adaptive World Models for Autonomous Driving
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89. From autonomous robotics toward autonomous cars
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90. SC-M*: A Multi-Agent Path Planning Algorithm with Soft-Collision Constraint on Allocation of Common Resources
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91. Rapidly Exploring Random Trees for Autonomous Navigation in Observable and Uncertain Environments
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92. Convex Hull Triangle Mesh-Based Static Mapping in Highly Dynamic Environments
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93. USV Trajectory Tracking Control Based on Receding Horizon Reinforcement Learning
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94. Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
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95. High-precision motion control method and practice for autonomous driving in complex off-road environments
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96. PLOT: a 3D point cloud object detection network for autonomous driving
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97. Visual navigation of mobile robots for autonomous patrolling of indoor and outdoor areas
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98. An online approach for intersection navigation of autonomous vehicle
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99. Robust virtual scan for obstacle Detection in urban environments
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100. Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript
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