Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles
Multiple vehicle collision avoidance strategies with safe lane changing strategy for vehicle control using learning base technique are the most crucial concern in autonomous driving system. Statistics shows that the latest autonomous driving systems are usually prone to rear-end collision. Rear-end...
Saved in:
Main Authors: | Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/33324/1/Comparison_of_PPO_and_SAC_Algorithms_Towards_Decision_Making_Strategies_for_Collision_Avoidance_Among_Multiple_Autonomous_Vehicles%20%281%29.pdf http://umpir.ump.edu.my/id/eprint/33324/ http://10.1109/ICSECS52883.2021.00043 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reinforcement learning based decision-making model in autonomous vehicle control for cooperation and mitigation of collision among multiple vehicles
by: Abu Jafar, Md Muzahid
Published: (2022) -
Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles
by: Abu Jafar, Md Muzahid, et al.
Published: (2022) -
Learning-based conceptual framework for threat assessment of multiple vehicle collision in autonomous driving
by: Muzahid, Abu Jafar Md, et al.
Published: (2020) -
Optimal safety planning and driving decision-making for multiple autonomous vehicles: A learning based approach.
by: Abu Jafar, Md Muzahid, et al.
Published: (2021) -
Multiple vehicle cooperation and collision avoidance in automated vehicles : Survey and an AI‑enabled conceptual framework
by: Abu Jafar, Md Muzahid, et al.
Published: (2023)