A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
A review of mobile mapping systems: From sensors to applications
M Elhashash, H Albanwan, R Qin - Sensors, 2022 - mdpi.com
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …
Infrastructure-based object detection and tracking for cooperative driving automation: A survey
Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Radar sensor based machine learning approach for precise vehicle position estimation
Estimating vehicles' position precisely is essential in Vehicular Adhoc Networks (VANETs)
for their safe, autonomous, and reliable operation. The conventional approaches used for …
for their safe, autonomous, and reliable operation. The conventional approaches used for …
Leveraging deep convolutional neural networks pre-trained on autonomous driving data for vehicle detection from roadside LiDAR data
Recent technological advancements in computer vision algorithms and data acquisition
devices have greatly facilitated the research and applications of deep learning-based traffic …
devices have greatly facilitated the research and applications of deep learning-based traffic …
[HTML][HTML] 3d-net: Monocular 3d object recognition for traffic monitoring
Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
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 …
Using spatiotemporal stacks for precise vehicle tracking from roadside 3D LiDAR data
This paper develops a non-model based vehicle tracking methodology for extracting road
user trajectories as they pass through the field of view of a 3D LiDAR sensor mounted on the …
user trajectories as they pass through the field of view of a 3D LiDAR sensor mounted on the …
[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 …
Moving event detection from LiDAR point streams
In dynamic environments, robots require instantaneous detection of moving events with
microseconds of latency. This task, known as moving event detection, is typically achieved …
microseconds of latency. This task, known as moving event detection, is typically achieved …