End-to-end autonomous driving: Challenges and frontiers
The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
A review of deep reinforcement learning approaches for smart manufacturing in industry 4.0 and 5.0 framework
A del Real Torres, DS Andreiana, Á Ojeda Roldán… - Applied Sciences, 2022 - mdpi.com
In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
2D MoS2-based reconfigurable analog hardware
Biological neural circuits demonstrate exceptional adaptability to diverse tasks by
dynamically adjusting neural connections to efficiently process information. However …
dynamically adjusting neural connections to efficiently process information. However …
Lane change decision-making of autonomous driving based on interpretable Soft Actor-Critic algorithm with safety awareness
D Yu, K Tian, Y Liu, M Xu - CAAI International Conference on Artificial …, 2022 - Springer
Safe and efficient lane change behavior is indispensable and significant for autonomous
driving. A new lane change decision-making scheme is proposed for autonomous driving …
driving. A new lane change decision-making scheme is proposed for autonomous driving …
[CITATION][C] 端到端自动驾驶系统研究综述
陈妍妍， 田大新， 林椿眄， 殷鸿博 - **图象图形学报