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原文传递 Stationary LiDAR for Traffic and Safety Applications--Vehicles Interpretation and Tracking.

题名：	Stationary LiDAR for Traffic and Safety Applications--Vehicles Interpretation and Tracking.
作者：	Ariyur, K. E.; Bandaru, V. K.; Liu, C.; Romero, M. A.; Tarko, A. P.
关键词：	Algorithms; Bicycles; Buses; Cars; Data Collection; Detectors; Highway Safety; Intersections; Light Detection And Ranging(lidar); Optical Radar; Pedestrians; Real Time; Road Users; Traffic Sensors; Ve
摘要：	The goal of the T-Scan project is to develop a data processing module for a novel LiDAR-based traffic scanner to collect highly accurate microscopic traffic data at road intersections. T-Scan uses Light Detection and Ranging (LiDAR) technology that can detect and track various types of road users, including buses, cars, pedestrians, and bicycles; and, unlike video detection, it does not experience the well-known occlusion problem. Moreover, LiDAR data has a one-to-one correspondence with the physical world, which makes it possible in principle to produce the positions and velocities of road users in real-time as needed for traffic and safety applications, with the errors of estimation dependent only on the resolution and accuracy of the LiDAR sensor. We faced two major challenges to this goal after integration of the sensing, data collection, and processing components: 1) the reduction of resolution farther from the sensor because of fewer light rays per unit area and reflections that do not return to the sensor and 1) the-wind induced oscillations of the sensor position. We solved the latter problem through installation of an inertial sensor atop the LiDAR to calibrate its motion. We are developing several approaches to solve the first problem, including video integration. A lot of our code is already open-source-based, and we have found from the computational requirements for various algorithms that the use of a standard GPU for processing should permit real-time running of our algorithms in the data processing module.
报告类型：	科技报告