Recently, roadside lidar sensors have been adopted as a reliable measure to extract high-
resolution vehicle trajectory data from the field. The trajectory-level data can be extracted …

Vehicle speed is a key variable for the calibration, validation, and improvement of traffic
emission and air quality models. Lidar technologies have significant potential in vehicle …

Since a vehicle-borne light detection and ranging (LiDAR) measurement system is affected
by the signal shielding and rolling vibration of the vehicle as it moves, commonly available …

The problem of traffic safety has become increasingly prominent owing to the increase in the
number of cars. Traffic accidents often occur in an instant, which makes it necessary to …

High-resolution vehicle data including location, speed, and direction is significant for new
transportation systems, such as connected-vehicle applications, micro-level traffic …

Abstract In recent years, Light Detection and Ranging (LIDAR) has been widely used in the
Intelligent Traffic System due to its high-precision data acquisition capabilities. It has great …

LiDAR becomes a promising sensor in intelligent transportation for traffic data collection.
Unlike the onboard LiDAR sensors which only focus on the surroundings of the vehicle, we …

This manuscript presents a new filter to automatically remove vehicles from point clouds of
roads captured by a mobile LiDAR system. The algorithm works in two main steps. The first …

The focus of this paper is on the development of a vehicle-tracking algorithm using a solid-
state LIDAR sensor for application to Collision Avoidance Systems (CAS) for Heavy …

This report documents and presents algorithms and procedure developed for extracting high-
accuracy high-resolution trajectory data from roadside LiDAR sensors. The developed …