This paper proposes a vision system for vehicle velocity estimation based on asynchronous output data. For real-time velocity estimation, a processing method has been developed and implemented on a digital signal processor. It exploits the sparse asynchronous data representation from the dual-line sensor with high temporal resolution (better than 100 ¿s) and low latency. The processing concept includes vehicle contours extraction, velocity estimation and scaling. The estimation approach uses the vehicle¿s leading edge on both lines to extract the detection time difference, which is used for the vehicle velocity estimation. The dual-line sensor system including this processing concept has been evaluated on several vehicles for velocities ranging from 10 to 120 km/h. The experiments have been performed at a test site with a two-lane road and the results obtained show an absolute velocity estimation error ≪4 km/h.
Automated Vehicle Velocity Estimation Using a Dual-Line Asynchronous Sensor
2007-09-01
369492 byte
Conference paper
Electronic Resource
English
AUTOMATED VEHICLE ATTITUDE AND LATERAL VELOCITY ESTIMATION USING A 6-D IMU AIDED BY VEHICLE DYNAMICS
British Library Conference Proceedings | 2018
|Asynchronous motor parameters estimation in traction vehicle
Tema Archive | 1997
|Reliability indexed sensor fusion for vehicle longitudinal and lateral velocity estimation
Online Contents | 2003
|