Research on Unmanned Driving Interface Based on Lidar Imaging Technology

As an autonomous mobile robot, the unmanned intelligent vehicle is often installed with sensors to collect the road environment information, and then process the information and control the speed and steering. In this study, vehicle-mounted camera, laser scanning radar and other sensors were equipped to collect real-time environmental information to efficiently process and accurately detect the specific location and shape of the obstacle. This study then investigated the impact of two In-Vehicle Information Systems (IVISS) on both usability and driving safety. Besides, the laser perception sensing technology was applied to transmit the information of the surrounding around the real-time driving area to the vehicle system. Simulating vehicle checkerboard and hierarchical IVIS interface layouts, we also examined their usability based on task completion time, error rate, NASA-TLX, and System Usability Scale (SUS). It was suggested that the results offer a supporting evidence for further design of IVIS interface.