Automotive radar target tracking by Kalman filtering
Automotive radars have been introduced successfully into the consumer market with sensors in the 24- and 77-GHz domain [1]. In order to increase traffic safety, an application for detecting and tracking Vulnerable Road Users (VRU) and vehicles in front of the car is currently under development. By using a single 24-GHz radar sensor, target parameters like range, radial velocity and azimuth angle are measured even in multiple target scenarios. This paper describes the current implementation progress of a signal processing scheme for target tracking by Kalman filtering and presents tracking results using real measurement data. The work is developed under the FP7 EC funded project ARTRAC [2].
Tracking systems for automotive radar networks
Automotive radar systems are currently under development for various applications to increase comfort and safety. In this paper a network of distributed radar sensors integrated behind the front bumper of a car is considered and described. Each pulse radar sensor measures the target range with extremely high accuracy and resolution. The two-dimensional target positioning is realized by signal processing techniques applied to the range measurements. Target tracking is most important in multiple-target situations. Therefore, three different tracking algorithms are described, tested and compared in this paper.
RIP - General Purpose Interactive Display at HHIRF
RIP is a general purpose interactive code for display and analysis of data acquired with the Holifield Heavy Ion Research Facility (HHIRF) accelerators at Oak Ridge National Laboratory. The HHIRF data acquisition system includes a version of RIP for on-line display of one-and two-dimensional histograms on color graphic terminals and hard copy on color printer/plotters. General features of the program and interactive techniques will be described.