A study on recent developments and issues with obstacle detection systems for automated vehicles

X Yu, M Marinov - Sustainability, 2020 - mdpi.com
This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …

Recent advances in mmWave-radar-based sensing, its applications, and machine learning techniques: A review

A Soumya, C Krishna Mohan, LR Cenkeramaddi - Sensors, 2023 - mdpi.com
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …

Performance and challenges of 3D object detection methods in complex scenes for autonomous driving

K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

MXene‐Composite‐Enabled Ultra‐long‐Distance Detection and Highly Sensitive Self‐Powered Noncontact Triboelectric Sensors and Their Applications in Intelligent …

C Zhao, Z Wang, Y Wang, Z Qian, Z Tan… - Advanced Functional …, 2023 - Wiley Online Library
With the ongoing advancement in sensor technologies, the development of intelligent,
secure, and low‐carbon vehicles will be possible in the near future. However, providing …

[HTML][HTML] On the road safety benefits of advanced driver assistance systems in different driving contexts

L Masello, G Castignani, B Sheehan, F Murphy… - Transportation research …, 2022 - Elsevier
Abstract Advanced Driver Assistance Systems (ADAS) have introduced several benefits in
the vehicular industry, and their proliferation presents potential opportunities to decrease …

[HTML][HTML] Vehicle-to-everything (V2X) in the autonomous vehicles domain–A technical review of communication, sensor, and AI technologies for road user safety

SA Yusuf, A Khan, R Souissi - Transportation Research Interdisciplinary …, 2024 - Elsevier
Autonomous vehicles (AV) are rapidly becoming integrated into everyday life, with several
countries anticipating their inclusion in public transport networks in the coming years. Safety …

Autonomous cars: technical challenges and a solution to blind spot

HM Thakurdesai, JV Aghav - Advances in Computational Intelligence and …, 2021 - Springer
Automotive industry is progressing forward toward the future, where the role of driver is
becoming smaller and leading to become ideally driverless. Designing a fully driverless car …

Identifying and correcting the errors of vehicle trajectories from roadside millimetre‐wave radars

C Lei, C Zhao, Y Ji, Y Shen, Y Du - IET Intelligent Transport …, 2023 - Wiley Online Library
Millimetre‐wave (MMW) radars have been increasingly deployed along the roadside
highways to collect vehicle trajectory data, which are valuable for traffic safety analyses and …

Camera-based blind spot detection with a general purpose lightweight neural network

Y Zhao, L Bai, Y Lyu, X Huang - Electronics, 2019 - mdpi.com
Blind spot detection is an important feature of Advanced Driver Assistance Systems (ADAS).
In this paper, we provide a camera-based deep learning method that accurately detects …

[HTML][HTML] Optical correlator based algorithm for driver drowsiness detection

E Ouabida, A Essadike, A Bouzid - Optik, 2020 - Elsevier
The human eye and its characteristics (texture, gaze, and movement) have shown to be
reliable in expressing human emotional states. A non-invasive eye tracking and state …