Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning-Reference-Cited by-同舟云学术

Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning

Published:2021-12-17 Issue: Volume: Page:1-21
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Garlick S.¹,Bradley A.²^ORCID

Affiliation:

1. Department of Computer Science, The University of Manchester, Manchester, UK

2. Autonomous Driving & Intelligent Transport Group, School of Engineering, Computing & Mathematics, Oxford Brookes University, Oxford, UK

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2021.2011929

Reference59 articles.

1. National Highway Traffic Safety Administration, US Department of Transportation. Critical reasons for crashes investigated in the national motor vehicle crash causation survey, Traffic Safety Facts, No. DOT HS 812 115; 2015.

2. The obscure link between motorsport and energy efficient, low-carbon innovation: Evidence from the UK and European Union

3. What can we learn from autonomous level-5 motorsport?

4. Minimum time optimal control simulation of a GP2 race car

5. Extended Steady State Lap Time Simulation for Analyzing Transient Vehicle Behavior

Cited by 5 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. Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control;PeerJ Computer Science;2024-02-13

2. An Integrated Path Planning Framework for Multi-Obstacle Avoidance of the Multi-Axle Autonomous Vehicle with Enhanced Safety and Stability;IEEE Transactions on Vehicular Technology;2024

3. Exploration of robust and intelligent navigation algorithms to ensure off-road autonomous vehicle mobility;International Journal of Vehicle Performance;2024

4. Double Gradient Method: A New Optimization Method for the Trajectory Optimization Problem;Lecture Notes in Networks and Systems;2024

5. A Scenario-Based Functional Testing Approach to Improving DNN Performance;2023 IEEE International Conference on Service-Oriented System Engineering (SOSE);2023-07