Vision-based traffic accident detection and anticipation: A survey
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
Intelligent identification of moving trajectory of autonomous vehicle based on friction nano-generator
C Ding, C Li, Z Xiong, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The purpose of this paper is to explore an intelligent identification method of autonomous
vehicle moving trajectory based on friction nano-generator. This method uses friction nano …
vehicle moving trajectory based on friction nano-generator. This method uses friction nano …
A Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality
As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …
A survey on self-evolving autonomous driving: a perspective on data closed-loop technology
Self evolution refers to the ability of a system to evolve autonomously towards a better
performance, which is a potential trend for autonomous driving systems based on self …
performance, which is a potential trend for autonomous driving systems based on self …
How to guarantee driving safety for autonomous vehicles in a real-world environment: a perspective on self-evolution mechanisms
A succession of accidents shows that production vehicles with autonomous driving systems
do not work safely in real-world environments, especially when facing unseen scenarios …
do not work safely in real-world environments, especially when facing unseen scenarios …
Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey
Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
Novel multiple access protocols against Q-learning-based tunnel monitoring using flying ad hoc networks
Some protocols operated in the MAC layer and the open-source interconnections model to
share the packet delivery and the network channel to deliver the packet is done …
share the packet delivery and the network channel to deliver the packet is done …
Autonomous mining through cooperative driving and operations enabled by parallel intelligence
Autonomous mining is promising to address several current issues in the mining sector,
such as low productivity, safety concerns, and labor shortages. Although partial automation …
such as low productivity, safety concerns, and labor shortages. Although partial automation …
A deep reinforcement learning-based active suspension control algorithm considering deterministic experience tracing for autonomous vehicle
C Wang, X Cui, S Zhao, X Zhou, Y Song, Y Wang… - Applied Soft …, 2024 - Elsevier
As the challenges in autonomous driving become more complex and changing, traditional
methods are struggling to cope. As a result, artificial intelligence (AI) techniques have …
methods are struggling to cope. As a result, artificial intelligence (AI) techniques have …
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
X Zhang, Q Wang, J Li, X Gao, B Li, B Nie, J Wang… - Scientific Data, 2024 - nature.com
For highly autonomous vehicles, human does not need to operate continuously vehicles.
The brain-computer interface system in autonomous vehicles will highly depend on the brain …
The brain-computer interface system in autonomous vehicles will highly depend on the brain …