Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions

V Bharilya, N Kumar - Vehicular Communications, 2024 - Elsevier
The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
被引用次数：9 相关文章

Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

V Bharilya, N Kumar - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Autonomous Vehicles (AVs) have emerged as a promising solution by replacing
human drivers with advanced computer-aided decision-making systems. However, for AVs …

Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions

V Bharilya, N Kumar - arXiv preprint arXiv:2307.07527, 2023 - arxiv.org
Autonomous Vehicles (AVs) have emerged as a promising solution by replacing human
drivers with advanced computer-aided decision-making systems. However, for AVs to …

Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions

V Bharilya, N Kumar - Vehicular Communications, 2024 - trid.trb.org
The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …