[HTML][HTML] Towards sustainable safe driving: a multimodal fusion method for risk level recognition in distracted driving status

H Chen, H Liu, H Chen, J Huang - Sustainability, 2023 - mdpi.com
Precise driving status recognition is a prerequisite for human–vehicle collaborative driving
systems towards sustainable road safety. In this study, a simulated driving platform was built …

[HTML][HTML] Development of an autonomous driving vehicle for garbage collection in residential areas

JW Pyo, SH Bae, SH Joo, MK Lee, A Ghosh, TY Kuc - Sensors, 2022 - mdpi.com
Autonomous driving and its real-world implementation have been among the most actively
studied topics in the past few years. In recent years, this growth has been accelerated by the …

[HTML][HTML] Anomaly detection for automated vehicles integrating continuous wavelet transform and convolutional neural network

L Wang, X Zhang - Applied Sciences, 2023 - mdpi.com
Connected and automated vehicles (CAVs) involving massive advanced sensors and
electronic control units (ECUs) bring intelligentization to the transportation system and …

[HTML][HTML] Forward Collision Warning Strategy Based on Millimeter-Wave Radar and Visual Fusion

C Sun, Y Li, H Li, E Xu, Y Li, W Li - Sensors, 2023 - mdpi.com
Forward collision warning (FCW) is a critical technology to improve road safety and reduce
traffic accidents. However, the existing multi-sensor fusion methods for FCW suffer from a …

[HTML][HTML] A rapid verification system for automatic emergency braking control algorithm of passenger car

J Xu, L Li, R Zhao, F Deng, G Li - Applied Sciences, 2022 - mdpi.com
The automatic emergency braking (AEB) system of the passenger car is responsible for
auxiliary braking judgment and decision-making in an emergency. Due to the inevitable …

[HTML][HTML] Integrated Longitudinal and Lateral Control of Emergency Collision Avoidance for Intelligent Vehicles under Curved Road Conditions

F Lai, H Yang - Applied Sciences, 2023 - mdpi.com
The operation of the automatic emergency braking (AEB) system may lead to a significant
increase in lateral offset of vehicles in curved road conditions, which can pose a potential …

An IoT‐Based Automatic Vehicle Accident Detection and Visual Situation Reporting System

S Aslam, S Islam, N Nigar, SA Ajagbe… - Journal of Advanced …, 2024 - Wiley Online Library
Road accidents are a major cause of injuries and deaths worldwide. Many accident victims
lose their lives because of the late arrival of the emergency response team (ERT) at the …

[HTML][HTML] A Hierarchical Prediction Method for Pedestrian Head Injury in Intelligent Vehicle with Combined Active and Passive Safety System

L Shi, H Zhang, L Wu, Y Liu, K Cheng, Y Han, D Wang - Biomimetics, 2024 - mdpi.com
With the development of intelligent vehicle technology, the probability of road traffic
accidents occurring has been effectively reduced to a certain extent. However, there is still …

Research on multitask model of object detection and road segmentation in unstructured road scenes

C Gao, F Zhao, Y Zhang, M Wan - Measurement Science and …, 2024 - iopscience.iop.org
With the rapid development of artificial intelligence and computer vision technology,
autonomous driving technology has become a hot area of concern. The driving scenarios of …

Experimental Security Analysis of DNN-based Adaptive Cruise Control under Context-Aware Perception Attacks

X Zhou, A Chen, M Kouzel, H Ren, M McCarty… - arXiv preprint arXiv …, 2023 - arxiv.org
Adaptive Cruise Control (ACC) is a widely used driver assistance feature for maintaining
desired speed and safe distance to the leading vehicles. This paper evaluates the security of …