3 accepted papers
Autonomous valet parking (AVP) aims to help the human drivers navigate to the desired location in the parking lot. Currently, the AVP task is not flexible enough to perform the open-vocabulary navigation tasks such as "navigate to the exit" or "park near the elevator". The widely used map formats fo
Robust localization is the cornerstone of autonomous driving, especially in challenging urban environments where GPS signals suffer from multipath errors. Traditional localization approaches rely on high-definition (HD) maps, which consist of precisely annotated landmarks. However, building HD map i
Sensing environmental obstacles and establishing an occupancy map of surroundings are critical to achieving automated parking for autonomous vehicles. This paper presents a method to obtain surrounding occupancy information from inverse perspective mapping (IPM) images. This method uses the easily-a…