Vehicle tracking with lane assignment by camera and lidar sensor fusion

Abstract

A multi-sensor system for vehicle tracking and lane detection is presented in this contribution. The system utilizes a lidar and a monocular camera sensor. The main focus for the lidar lies in the field of vehicle detection and the camera is initially used for lane detection. Therewith realized and introduced applications onto the market are driver assistance systems for adaptive cruise control (ACC) and lane departure warning (LDW). More sophisticated ACC functionalities like collision mitigation and collision avoidance systems require a higher reliability and accuracy of the environment recognition. The joint use of both sensors facilitates this without additional expenses for hardware. It exploits the advantages of the different sensor concepts to extend the capabilities for interpretation of the vehicle environment. In our case this ensures a more accurate estimation of the dimensions and positions of the vehicles within the lane respectively the entire road. Finally, we present an innovative human machine interface (HMI) solution to display the desired assistance functionality with high transparency and clarity to the driver.