ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images
The recognition and utilization of complementary information arising from modality-intrinsic
properties play crucial roles in multimodal 3D detection. However, most of the current …
properties play crucial roles in multimodal 3D detection. However, most of the current …
Event-Triggered Parallel Control Using Deep Reinforcement Learning With Application to Comfortable Autonomous Driving
A novel event-triggered control (ETC) method, called deep event-triggered parallel control
(deep-ETPC), is presented to achieve path tracking for comfortable autonomous driving …
(deep-ETPC), is presented to achieve path tracking for comfortable autonomous driving …
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
Motion Planner with Fixed-Horizon Constrained Reinforcement Learning for Complex Autonomous Driving Scenarios
In autonomous driving, behavioral decision-making and trajectory planning remain huge
challenges due to the large amount of uncertainty in environments and complex interaction …
challenges due to the large amount of uncertainty in environments and complex interaction …
Event-based predefined-time second-order practical consensus with application to connected automated vehicles
J Liu, J Shi, Y Wu, X Wang, J Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this study, an event-based control strategy is proposed for second-order disturbed multi-
agent systems (MASs) to achieve predefined-time practical consensus. In comparison to the …
agent systems (MASs) to achieve predefined-time practical consensus. In comparison to the …
Parallel Driving with Big Models and Foundation Intelligence in Cyber–Physical–Social Spaces
Recent years have witnessed numerous technical breakthroughs in connected and
autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly …
autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly …
基于平行测试的认知自动驾驶智能架构研究
王晓， 张翔宇， 周锐， 田永林， 王建功， 陈龙， 孙长银 - 自动化学报, 2024 - aas.net.cn
在大数据, 云计算和机器学习等新一代人工智能技术的推动下, 自动驾驶的感知智能在近年来
得到显著的提升与发展. 然而, 与人类驾驶过程中隐含的以自我目的实现为引导的自探索性和 …
得到显著的提升与发展. 然而, 与人类驾驶过程中隐含的以自我目的实现为引导的自探索性和 …
Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning
T Zhang, M Fu, W Song, Y Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Prediction is a vital component of motion planning for autonomous vehicles (AVs). By
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …
Learning-based hierarchical decision-making framework for automatic driving in incompletely connected traffic scenarios
F Yang, X Li, Q Liu, X Li, Z Li - Sensors, 2024 - mdpi.com
The decision-making algorithm serves as a fundamental component for advancing the level
of autonomous driving. The end-to-end decision-making algorithm has a strong ability to …
of autonomous driving. The end-to-end decision-making algorithm has a strong ability to …
An automatic driving trajectory planning approach in complex traffic scenarios based on integrated driver style inference and deep reinforcement learning
Y Liu, S Diao - PLoS one, 2024 - journals.plos.org
As autonomous driving technology continues to advance and gradually become a reality,
ensuring the safety of autonomous driving in complex traffic scenarios has become a key …
ensuring the safety of autonomous driving in complex traffic scenarios has become a key …