Researcher(s)
- Jared Bryant, Computer Science, Delaware State University
Faculty Mentor(s)
- Weisong Shi, Computer Science, University of Delaware
- William He, Computer Science, University of Delaware
Abstract
This research poster explores the critical role of 3D localization and meshing in enhancing the accuracy and reliability of autonomous vehicle navigation. We provide an in-depth analysis of key technologies such as LiDAR, cameras, and IMU (Inertial Measurement Unit) sensors used in these processes. We discuss the challenges associated with real-time data processing, sensor fusion, and environmental variability. Furthermore, the poster highlights future technological advancements and potential project additions that can improve the efficiency and effectiveness of autonomous navigation systems. Accurate statistics about the performance of Simultaneous Localization and Mapping (SLAM) algorithms are presented to underscore the current state and potential of these technologies.