3D ToF LiDAR in mobile robotics: A review
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has
grown rapidly. Based on our accumulation of relevant research, this article systematically …
grown rapidly. Based on our accumulation of relevant research, this article systematically …
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 …
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 …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Cnn-based lidar point cloud de-noising in adverse weather
R Heinzler, F Piewak, P Schindler… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Lidar sensors are frequently used in environment perception for autonomous vehicles and
mobile robotics to complement camera, radar, and ultrasonic sensors. Adverse weather …
mobile robotics to complement camera, radar, and ultrasonic sensors. Adverse weather …
A benchmark for lidar sensors in fog: Is detection breaking down?
Autonomous driving at level five does not only means self-driving in the sunshine. Adverse
weather is especially critical because fog, rain, and snow degrade the perception of the …
weather is especially critical because fog, rain, and snow degrade the perception of the …
Analysis of factors affecting the severity of automated vehicle crashes using XGBoost model combining POI data
H Chen, H Chen, Z Liu, X Sun… - Journal of advanced …, 2020 - Wiley Online Library
The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …
ground globally. However, a few studies have performed an in‐depth exploration of the …
Fault detection, isolation, identification and recovery (fdiir) methods for automotive perception sensors including a detailed literature survey for lidar
Perception sensors such as camera, radar, and lidar have gained considerable popularity in
the automotive industry in recent years. In order to reach the next step towards automated …
the automotive industry in recent years. In order to reach the next step towards automated …
A cost-effective photonic radar under adverse weather conditions for autonomous vehicles by incorporating a frequency-modulated direct detection scheme
In recent years, there have been plenty of demands and growth in the autonomous vehicle
industry, and thus, challenges of designing highly efficient photonic radars that can detect …
industry, and thus, challenges of designing highly efficient photonic radars that can detect …
Exploring the mechanism of crashes with autonomous vehicles using machine learning
H Chen, H Chen, R Zhou, Z Liu… - Mathematical problems in …, 2021 - Wiley Online Library
The safety issue has become a critical obstacle that cannot be ignored in the marketization
of autonomous vehicles (AVs). The objective of this study is to explore the mechanism of AV …
of autonomous vehicles (AVs). The objective of this study is to explore the mechanism of AV …
Photonic sensor for multiple targets detection under adverse weather conditions in autonomous vehicles
Detection and tracing of multiple targets in a real-time scenario, particularly in the urban
setup under adverse atmospheric conditions, has become a major challenge for …
setup under adverse atmospheric conditions, has become a major challenge for …