Roland Schweiger

Papers

Total Citations

H-Index

About

Roland Schweiger’s research focuses on advanced driver assistance systems (ADAS) and autonomous vehicle navigation, with a particular emphasis on environment perception and localization. His most-cited work, “Night-vision stereo grid mapping for digital map localization” (2014), addresses the critical challenge of robustly perceiving and mapping a vehicle’s surroundings under low-light conditions. By integrating stereo vision with occupancy grid mapping, Schweiger developed a method that enhances the accuracy of digital map localization—a key enabler for night-vision systems, parking assistance, and collision avoidance. This contribution bridges the gap between real-time sensor data and reliable spatial representation, directly impacting the safety and reliability of autonomous driving technologies. Though his citation count is modest, the practical significance of his work is evident in its application to real-world ADAS challenges. Schweiger’s research underscores the importance of robust perception in dynamic environments, offering foundational insights for students and engineers working on sensor fusion, grid mapping, and localization in autonomous systems. His work remains a valuable reference for those seeking to improve vehicle perception under adverse conditions.