mlsanityData to 14 Oct 2026

Reimagining an autonomous vehicle

arXiv 2108.05805 ↗First posted 12 Aug 2021cs.LG cs.AI cs.ROcited by 11

Not on the map. Why?

Abstract (arXiv)

The self driving challenge in 2021 is this century's technological equivalent of the space race, and is now entering the second major decade of development. Solving the technology will create social change which parallels the invention of the automobile itself. Today's autonomous driving technology is laudable, though rooted in decisions made a decade ago. We argue that a rethink is required, reconsidering the autonomous vehicle (AV) problem in the light of the body of knowledge that has been gained since the DARPA challenges which seeded the industry. What does AV2.0 look like? We present an alternative vision: a recipe for driving with machine learning, and grand challenges for research in driving.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 34 of its 54 references that are in the map. First posted on arXiv 12 Aug 2021.

Builds on

34 of 54 references.

References · 34

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
  3. 2015Continuous control with deep reinforcement learningcited by 3,407
  4. 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,451
  5. 2020Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problemscited by 1,920
  6. 2016Concrete Problems in AI Safetycited by 1,642
  7. 2017Towards A Rigorous Science of Interpretable Machine Learningcited by 1,416
  8. 2019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelcited by 1,353
  9. 2017Curiosity-driven Exploration by Self-supervised Predictioncited by 1,194
  10. 2020Mastering Atari with Discrete World Modelscited by 1,007
  11. 2019Argoverse: 3D Tracking and Forecasting with Rich Mapscited by 732
  12. 2021RMA: Rapid Motor Adaptation for Legged Robotscited by 508
22 more
  1. 2019MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Predictioncited by 420
  2. 2019A Survey of Autonomous Driving: Common Practices and Emerging Technologiescited by 379
  3. 2020TNT: Target-driveN Trajectory Predictioncited by 347
  4. 2018Towards a Definition of Disentangled Representationscited by 296
  5. 2018Learning to Drive in a Daycited by 273
  6. 2016A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehiclescited by 254
  7. 2020One Thousand and One Hours: Self-driving Motion Prediction Datasetcited by 240
  8. 2021FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Camerascited by 239
  9. 2021MP3: A Unified Model to Map, Perceive, Predict and Plancited by 212
  10. 2021Towards Causal Representation Learningcited by 209
  11. 2019Self-Driving Cars: A Surveycited by 148
  12. 2020Invariant Causal Prediction for Block MDPscited by 105
  13. 2019Urban Driving with Conditional Imitation Learningcited by 86
  14. 2019Does computer vision matter for action?cited by 64
  15. 2020FISHING Net: Future Inference of Semantic Heatmaps In Gridscited by 55
  16. 2021Universal Off-Policy Evaluationcited by 43
  17. 2020Waymo Public Road Safety Performance Datacited by 24
  18. 2021Deep Multi-Task Learning for Joint Localization, Perception, and Predictioncited by 22
  19. 2021Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platformscited by 22
  20. 2018Safe Option-Critic: Learning Safety in the Option-Critic Architecturecited by 10
  21. 2020CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous drivingcited by 8
  22. 2020What can robotics research learn from computer vision research?cited by 1

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 1; 2023: 5; 2024: 1; 2025: 2.

11 papers.

  1. 2023Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Drivingcited by 232
  2. 2023LingoQA: Visual Question Answering for Autonomous Drivingcited by 145
  3. 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directionscited by 73
  4. 2025Robust Autonomy Emerges from Self-Playcited by 67
  5. 2024Solving Motion Planning Tasks with a Scalable Generative Modelcited by 40
  6. 2022Critic Sequential Monte Carlocited by 16
  7. 2023Self-Aware Trajectory Prediction for Safe Autonomous Drivingcited by 5
  8. 2023Controlling Steering with Energy-Based Modelscited by 2
  9. 2023Detrive: Imitation Learning with Transformer Detection for End-to-End Autonomous Drivingcited by 2
  10. 2025Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Modelscited by 2
  11. 2021"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Drivingcited by 0