A review of end-to-end autonomous driving in urban environments
Autonomous driving in urban environments requires intelligent systems that are able to deal
with complex and unpredictable scenarios. Traditional modular approaches focus on …
with complex and unpredictable scenarios. Traditional modular approaches focus on …
Research on the weaving area capacity of freeways under man–machine mixed traffic flow
With the maturity and development of autonomous driving technology, mixed autonomous
and manual vehicle traffic will become the main form of traffic flow in the future. First …
and manual vehicle traffic will become the main form of traffic flow in the future. First …
Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles
The integration of autonomous driving and hybrid electric vehicle technologies presents a
promising solution for achieving environmental sustainability. This paper introduces an …
promising solution for achieving environmental sustainability. This paper introduces an …
Game-theoretic lane change decision-making method considering traffic trend
In order to improve the safety and adaptability of the lane-changing decision process of
autonomous vehicle, a lane-changing decision-making method considering the traffic trend …
autonomous vehicle, a lane-changing decision-making method considering the traffic trend …
[HTML][HTML] Metalearning-based fault-tolerant control for skid steering vehicles under actuator fault conditions
H Dai, P Chen, H Yang - Sensors, 2022 - mdpi.com
Using reinforcement learning (RL) for torque distribution of skid steering vehicles has
attracted increasing attention recently. Various RL-based torque distribution methods have …
attracted increasing attention recently. Various RL-based torque distribution methods have …