Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
A survey on ground segmentation methods for automotive LiDAR sensors
In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …
roads. However, fully autonomous cars will require robust perception systems to safely …
[HTML][HTML] A scalable and accurate de-snowing algorithm for LiDAR point clouds in winter
W Wang, X You, L Chen, J Tian, F Tang, L Zhang - Remote Sensing, 2022 - mdpi.com
Accurate and efficient environmental awareness is a fundamental capability of autonomous
driving technology and the real-time data collected by sensors offer autonomous vehicles an …
driving technology and the real-time data collected by sensors offer autonomous vehicles an …
Object detection based on roadside LiDAR for cooperative driving automation: A review
P Sun, C Sun, R Wang, X Zhao - Sensors, 2022 - mdpi.com
Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …
[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 …
Use of social interaction and intention to improve motion prediction within automated vehicle framework: A review
Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …
causalities, vehicle damages and a predicament in the pathway to safer road systems …
An Efficient Adaptive Noise Removal Filter on Range Images for LiDAR Point Clouds
MH Le, CH Cheng, DG Liu - Electronics, 2023 - mdpi.com
Light Detection and Ranging (LiDAR) is a critical sensor for autonomous vehicle systems,
providing high-resolution distance measurements in real-time. However, adverse weather …
providing high-resolution distance measurements in real-time. However, adverse weather …
Hardware-accelerated data decoding and reconstruction for automotive LiDAR sensors
The automotive industry is facing an unprecedented technological transformation towards
fully autonomous vehicles. Optimists predict that, by 2030, cars will be sufficiently reliable …
fully autonomous vehicles. Optimists predict that, by 2030, cars will be sufficiently reliable …
Perception Methods for Adverse Weather Based on Vehicle Infrastructure Cooperation System: A Review
Environment perception plays a crucial role in autonomous driving technology. However,
various factors such as adverse weather conditions and limitations in sensing equipment …
various factors such as adverse weather conditions and limitations in sensing equipment …
Bridge substructure damage morphology identification based on the underwater sonar point cloud data
Bridge underwater foundation inspection is always a prominent and challenging issue due
to an unknown and unsafe underwater environment. Effective identification of bridge …
to an unknown and unsafe underwater environment. Effective identification of bridge …