A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle-Reference-Cited by-同舟云学术

A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle

Published:2024 Issue: Volume:12 Page:66031-66067
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ganesan Manikandan¹^ORCID,Kandhasamy Sivanathan²^ORCID,Chokkalingam Bharatiraja¹^ORCID,Mihet-Popa Lucian³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Centre for Electric Mobility, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India

2. Department of Mechatronics Engineering, Faculty of Engineering and Technology, Autonomous Systems Laboratory, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India

3. Department of Energy Technology, Østfold University College, Halden, Norway

Funder

Department of Science and Technology, Government of India, Promotion of University Research and Scientific Excellence

Autonomous System Laboratory, Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10510276.pdf?arnumber=10510276

Reference175 articles.

1. Road Traffic Injuries

2. Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

3. Social Interactions for Autonomous Driving: A Review and Perspectives

4. Parallel Driving OS: A Ubiquitous Operating System for Autonomous Driving in CPSS

5. MSFANet: A Light Weight Object Detector Based on Context Aggregation and Attention Mechanism for Autonomous Mining Truck

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