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Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments

  • Published:2019-06 Issue:2 Volume:4 Page:171-185
  • ISSN:2379-8904
  • Container-title:IEEE Transactions on Intelligent Vehicles
  • language:
  • Short-container-title:IEEE Trans. Intell. Veh.

Author:

Kang YueORCID,Yin HangORCID,Berger ChristianORCID

Funder

COPPLAR Project

Vinnova FFI

CAIVE project at the Chalmers University of Technology and University of Gothenburg

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Cited by 122 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital Twin Test Method With LTE-V2X for Autonomous Vehicle Safety Test;IEEE Internet of Things Journal;2024-09-15

2. Virtual Tools for Testing Autonomous Driving: A Survey and Benchmark of Simulators, Datasets, and Competitions;Electronics;2024-09-02

3. An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

4. A Hierarchical LiDAR Simulation Framework Incorporating Physical Attenuation Response in Autonomous Driving Scenarios;IEEE Transactions on Intelligent Transportation Systems;2024-06

5. Explainable AI-Based Semantic Object Detection for Autonomous Vehicles;Advances in Computational Intelligence and Robotics;2024-05-23
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