Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models

M Girdhar, J Hong, J Moore - IEEE Open Journal of Vehicular …, 2023 - ieeexplore.ieee.org
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …

“Cyclist at 12 o'clock!”: a systematic review of in-vehicle advanced driver assistance systems (ADAS) for preventing car-rider crashes

SA Useche, M Faus, F Alonso - Frontiers in public health, 2024 - frontiersin.org
Introduction While Advanced Driver Assistance Systems (ADAS) have become a prominent
topic in road safety research, there has been relatively little discussion about their …

Radar-lidar fusion for classification of traffic signaling motion in automotive applications

S Biswas, JE Ball, AC Gurbuz - 2023 IEEE International Radar …, 2023 - ieeexplore.ieee.org
Advanced driver-assisted system (ADAS) uses multiple sensors such as Radar, Lidar, or
Cameras in vehicles to create a robust perception against challenging weather conditions …

Object Detection, Recognition, and Tracking Algorithms for ADASs—A Study on Recent Trends

V Malligere Shivanna, JI Guo - Sensors, 2023 - mdpi.com
Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …

Digital Twin-Enabled Efficient Federated Learning for Collision Warning in Intelligent Driving

L Tang, M Wen, Z Shan, L Li, Q Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Considering the limited resources, user mobility and unpredictable driving environment in
intelligent driving, this paper studies the optimal training efficiency of federated learning for …

A Virtual Vehicle–Based Car‐Following Model to Reproduce Hazmat Truck Drivers' Differential Behaviors

Y Shao, Y Zhang, Y Zhang, X Shi… - Journal of Advanced …, 2024 - Wiley Online Library
Enhancing hazmat truck safety through advanced driving assistance systems (ADAS) relies
on both system efficacy and driver reactions. This study investigates the driving behaviors of …

Forward collision warning system using multi-modal trajectory prediction of the intelligent vehicle

X Wu, L Yan, H Li, C Su - Proceedings of the Institution of …, 2024 - journals.sagepub.com
As one of important advanced driving assistance systems (ADAS) for intelligent vehicles,
forward collision warning system is an effective solution to avoid the traffic accidents …

Computer Vision-Based Smart Helmet with Voice Assistant for Increasing

Y Grover, SG Mishra, S Kumar, P Verma… - … and Applications of …, 2023 - books.google.com
Two wheelers prove to be an easy and comfortable way of transportation, however, it also
comes with its own set of risks. The Ministry of Road Transport and Highways recorded close …

An Automotive ECU-Based Forward Collision Prevention System

F Islam, TT Nileema, FR Abir, TT Jidney… - … on Advances in Data …, 2023 - Springer
This study presents a software model that identifies vehicles in front of a test vehicle,
measures distances, and classifies them as safe, slow speed, and brake. The classification …

Computer Vision-Based Smart Helmet with Voice Assistant for Increasing Driver Safety

Y Grover, SG Mishra, S Kumar, P Verma… - … Conference on Advances …, 2022 - Springer
Two wheelers prove to be an easy and comfortable way of transportation, however, it also
comes with its own set of risks. The Ministry of Road Transport and Highways recorded close …