The perception system of intelligent ground vehicles in all weather conditions: A systematic literature review

AS Mohammed, A Amamou, FK Ayevide, S Kelouwani… - Sensors, 2020 - mdpi.com
Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …

Sensing system of environmental perception technologies for driverless vehicle: A review of state of the art and challenges

Q Chen, Y Xie, S Guo, J Bai, Q Shu - Sensors and Actuators A: Physical, 2021 - Elsevier
Environmental perception technology is the guarantee of the safety of driverless vehicles. At
present, there are a lot of researches and reviews on environmental perception, aiming to …

Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios

G Li, Y Yang, T Zhang, X Qu, D Cao, B Cheng… - … research part C: emerging …, 2021 - Elsevier
In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Machine-learning-assisted recognition on bioinspired soft sensor arrays

Y Luo, X Xiao, J Chen, Q Li, H Fu - ACS nano, 2022 - ACS Publications
Soft interfaces with self-sensing capabilities play an essential role in environment
awareness and reaction. The growing overlap between materials and sensory systems has …

Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles

Y Xing, C Lv, D Cao - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Motion prediction for the leading vehicle is a critical task for connected autonomous
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …

Conditional generative neural system for probabilistic trajectory prediction

J Li, H Ma, M Tomizuka - 2019 IEEE/RSJ International …, 2019 - ieeexplore.ieee.org
Effective understanding of the environment and accurate trajectory prediction of surrounding
dynamic obstacles are critical for intelligent systems such as autonomous vehicles and …

Influence of traffic congestion on driver behavior in post-congestion driving

G Li, W Lai, X Sui, X Li, X Qu, T Zhang, Y Li - Accident Analysis & …, 2020 - Elsevier
Traffic congestion is more likely to lead to aggressive driving behavior that is associated with
increased crash risks. Previous studies mainly focus on driving behavior during congestion …

Deep learning approaches on pedestrian detection in hazy weather

G Li, Y Yang, X Qu - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
Effectively detecting pedestrians in various environments would significantly improve driving
safety for autonomous vehicles. However, the degrpted visibility and blurred outline and …

A temporal–spatial deep learning approach for driver distraction detection based on EEG signals

G Li, W Yan, S Li, X Qu, W Chu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Distracted driving has been recognized as a major challenge to traffic safety improvement.
This article presents a novel driving distraction detection method that is based on a new …

A brief review of sound energy harvesting

J Choi, I Jung, CY Kang - Nano energy, 2019 - Elsevier
Sound energy harvesting is one of the promising technologies due to the abundant and
clean sound sources. It can be the semi-permanent alternative power supplies for wireless …