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 …
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
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
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 …
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 …
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
Abstract Advanced Driver Assistance Systems (ADAS) have introduced several benefits in
the vehicular industry, and their proliferation presents potential opportunities to decrease …
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
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 …
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 …
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
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 …
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
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 …
In this paper, we provide a camera-based deep learning method that accurately detects …
[HTML][HTML] Optical correlator based algorithm for driver drowsiness detection
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 …
reliable in expressing human emotional states. A non-invasive eye tracking and state …