An automatic lane marking detection method with low-density roadside LiDAR data

C Lin, Y Guo, W Li, H Liu, D Wu - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Lane information is an essential part of high-resolution micro-traffic data (HRMTD). Most of
the lane detection algorithms for Light Detection and Ranging (LiDAR) are applied to high …

Moving vehicle detection and tracking at roundabouts using deep learning with trajectory union

E Avşar, YÖ Avşar - Multimedia Tools and Applications, 2022 - Springer
The number of vehicles and turning movements at roundabouts provide important
information for planning, design and operational analysis of roundabouts. The visual data …

Road traffic density estimation and congestion detection with a hybrid observer-based strategy

A Zeroual, F Harrou, Y Sun - Sustainable cities and society, 2019 - Elsevier
Reliable detection of traffic congestion provides pertinent information for improving safety
and comfort by alerting the driver to crowded roads or providing useful information for rapid …

[PDF][PDF] Application level attacks on connected vehicle protocols

A Abdo, SMB Malek, Z Qian, Q Zhu, M Barth… - … on Research in Attacks …, 2019 - usenix.org
Connected vehicles (CV) applications are an emerging new technology that promises to
revolutionize transportation systems. CV applications can improve safety, efficiency, and …

A 6464 CMOS Image Sensor With On-Chip Moving Object Detection and Localization

B Zhao, X Zhang, S Chen, KS Low… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a 64× 64 CMOS image sensor with on-chip moving object detection and
localization capability. Pixel-level storage elements (capacitors) enable the sensor to …

An automatic lane identification method for the roadside light detection and ranging sensor

J Wu, H Xu, Y Tian, Y Zhang, J Zhao… - Journal of Intelligent …, 2020 - Taylor & Francis
Abstract The roadside Light Detection and Ranging (LiDAR) sensor can provide the high-
resolution micro traffic data (HRMTD) of all road users by collecting real-time point clouds in …

Louvain-Based Traffic Object Detection for Roadside 4D Millimeter-Wave Radar

B Gong, J Sun, C Lin, H Liu, G Sun - Remote Sensing, 2024 - mdpi.com
Object detection is the fundamental task of vision-based sensors in environmental
perception and sensing. To leverage the full potential of roadside 4D MMW radars, an …

[PDF][PDF] Image processing edge detection technique used for traffic control problem

P Srinivas, YL Malathilatha, M Prasad - International Journal of …, 2013 - Citeseer
The frequent traffic jams at major junctions call for an efficient traffic management system in
place. The resulting wastage of time and increase in pollution levels can be eliminated on a …

Lane level traffic

X Chen, X Ma, R Ostrovskiy, T Zhao - US Patent 9,747,505, 2017 - Google Patents
Lane level traffic levels are determined based on traffic camera images. A controller aligns a
three-dimensional map with a traffic camera view, and identifies multiple lanes in the traffic …

Developing operating mode distribution inputs for MOVES with a computer vision–based vehicle data collector

Z Yao, H Wei, Z Li, T Ma, H Liu… - Transportation research …, 2013 - journals.sagepub.com
Acquisition of reliable vehicle activity inputs to the US Environmental Protection Agency's
MOVES (Motor Vehicle Emission Simulator) model is necessary for maximizing modeling …