Vehicular Traffic Surveillance and Road Lane Detection Using Radar Interferometry

Abstract

Abstract-Speed enforcement on public roadways is an important issue in order to guarantee road security and to reduce the number and seriousness of traffic accidents. Traditionally, this task has been partially solved using radar and/or laser technologies and, more recently, using video-camera based systems. All these systems have significant shortcomings that have yet to be overcome. The main drawback of classical Doppler radar technology is that the velocity measurement fails when several vehicles are in the radars beam. Modern radar systems are able to measure speed and range between vehicle and radar. However, this is not enough to discriminate the lane where the vehicle is driving on. The limitation of several vehicles in the beam is overcome using laser technology. However, laser systems have another important limitation: They cannot measure the speed of several vehicles simultaneously. Novel video-camera systems, based on license plate identification, solve the previous drawbacks, but they have the problem that they can only measure average speed but never top-speed. This paper studies the feasibility of using an interferometric linear frequency modulated continuous wave radar to improve top-speed enforcement on roadways. Two different systems based on down-the-road and across-the-road radar configurations are presented. The main advantage of the proposed solutions is they can simultaneously measure speed, range, and lane of several vehicles, allowing the univocal identification of the offenders. A detailed analysis about the operation and accuracy of these solutions is reported. In addition, the feasibility of the proposed techniques has been demonstrated with simulations and real experiments using a Ka-band interferometric radar developed by our research group.

Stereo vision-based real-time localization of electric vehicle battery in the complex environment

“…Let θ cc and ϕ cc denote the rotational angles of the car plane along the y and z axes in the visual coordinate system. (10) where x cs denotes the x coordinate of the initial column, and x ce denotes the x coordinate of the terminal column. The translation from the car plane to the visual coordinate system is:…”

“…[9] The sensor performance will be degraded in the rains. [10] Infrared ranging can work properly at night, but is ineffective in measuring the distance of the near or multiple objects. [11,12] There is a general problem that the above sensors can only measure the distance of a single object.…”

Design of lane keeping assist system for autonomous vehicles

“…For instance, an interferometric linear frequency modulated continuous wave radar is deployed in the road lane detection scheme in [46]. In this paper, interferometry is used to estimate lane position.…”

A Novel Density Peak Fuzzy Clustering Algorithm for Moving Vehicles Using Traffic Radar

“…Multi-target tracking with radar is also a hot issue in intelligent transportation research [4][5][6]. By tracking passing vehicles, risky driving behavior can be predicted and an early warning signal can be issued [7,8]. Vehicle tracking helps to reduce the occurrence of traffic accidents, and also helps the development of intelligent transportation [9].…”