mlsanityData to 14 Oct 2026

An Overview about Emerging Technologies of Autonomous Driving

arXiv 2306.13302 ↗First posted 23 Jun 2023cs.CVcited by 2

On the map: End-to-end autonomous driving → End-to-end system architecture

Abstract (arXiv)

Since DARPA started Grand Challenges in 2004 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications. This paper gives an overview about technical aspects of autonomous driving technologies and open problems. We investigate the major fields of self-driving systems, such as perception, mapping and localization, prediction, planning and control, simulation, V2X and safety etc. Especially we elaborate on all these issues in a framework of data closed loop, a popular platform to solve the long tailed autonomous driving problems.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in End-to-end system architecture, one of 9 directions in End-to-end autonomous driving. Builds on 32 of its 53 references that are in the map. First posted on arXiv 23 Jun 2023.

Builds on

32 of 53 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives17 Mar
  2. 2023Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review2 Mar

Other references · 30

  1. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,071
  2. 2023ImageBind: One Embedding Space To Bind Them Allcited by 1,175
  3. 2019A Survey of Autonomous Driving: Common Practices and Emerging Technologiescited by 379
  4. 2023NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Modelscited by 280
  5. 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thoughtcited by 279
  6. 2016A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehiclescited by 254
  7. 2019Human Motion Trajectory Prediction: A Surveycited by 232
  8. 2017Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Artcited by 182
  9. 2022Vision-Centric BEV Perception: A Surveycited by 126
  10. 2022Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipecited by 122
  11. 2019A Survey of Deep Learning Applications to Autonomous Vehicle Controlcited by 106
  12. 2023Collaborative Perception in Autonomous Driving: Methods, Datasets and Challengescited by 87
18 more
  1. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  2. 2021A Survey of Deep RL and IL for Autonomous Driving Policy Learningcited by 61
  3. 2023On the Design Fundamentals of Diffusion Models: A Surveycited by 60
  4. 2021Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defensescited by 30
  5. 2022Behavioral Intention Prediction in Driving Scenes: A Surveycited by 30
  6. 2021A Survey on Simulators for Testing Self-Driving Carscited by 27
  7. 2023BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fieldscited by 27
  8. 2023MachMap: End-to-End Vectorized Solution for Compact HD-Map Constructioncited by 17
  9. 2022High-Definition Map Generation Technologies For Autonomous Drivingcited by 14
  10. 2023Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Drivingcited by 14
  11. 2020Learning Accurate and Human-Like Driving using Semantic Maps and Attentioncited by 10
  12. 2022A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understandingcited by 8
  13. 2023Occupancy Prediction-Guided Neural Planner for Autonomous Drivingcited by 8
  14. 2017Cooperative Automated Vehicles: a Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networkingcited by 6
  15. 2023Trajectory-Prediction with Vision: A Surveycited by 4
  16. 2023Energy-Based Models for Cross-Modal Localization using Convolutional Transformerscited by 3
  17. 2023Poses as Queries: Image-to-LiDAR Map Localization with Transformerscited by 2
  18. 2022A Survey on Visual Map Localization Using LiDARs and Camerascited by 1

Built on by

Cited by year

Citing papers per year: 2023: 2.

2 papers.

  1. 2023Applications of Large Scale Foundation Models for Autonomous Drivingcited by 14
  2. 2023Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehiclescited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
  2. 2022Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
  3. 2023End-to-end Autonomous Driving: Challenges and Frontiers
  4. 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
  5. 2022Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
  6. 2023Towards Knowledge-driven Autonomous Driving
  7. 2021Autonomy 2.0: Why is self-driving always 5 years away?
  8. 2023Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey