摘要: |
In general, modern autonomous vehicles are capable of tracking lanes effectively in normal operation; however, when emergencies occur, these vehicles (for example, Cadillac Super Cruise CT6 and Tesla Model S) simply stop in the lane, creating safety problems for themselves and other vehicles. The proposed research is to enable the vehicle to navigate autonomously to stop out of the travel path of following vehicles. To realize this Autonomous Emergency Navigation, the vehicle will perform the following steps: perceive the surrounding environment and road conditions, identify a safe roadside location to stop outside the lane, specify a trajectory, and apply proper steering and braking to autonomously drive the vehicle to the safe location. This project draws on the complementary expertise of each research team member. The project principal investigator (PI) recently developed state-of-the-art road surface measurement technologies. These advances, when combined with Simultaneous Localization and Mapping (SLAM), provide an accurate, rich, three-dimensional road profile within a 15-25m radius. Faculty expertise in robotics and feedback control are essential to autonomously navigate the vehicle along complex trajectories. For the recommended project initiation, the research team will develop and integrate technologies to self-localize the vehicle and perceive its environments including the road first in this project. The research carried out in this project will enhance traffic safety of automated vehicle systems when road emergencies take place. Furthermore, as each PI works closely with students, education and workforce development activities will prepare a new generation of students and enthusiasts from the public on the design and deployment of self-driving cars. |