LIDAR Systems for Smart Transport

LIDAR Systems for Smart Transport provides comprehensive understanding of how LiDAR technology enables intelligent transportation systems and autonomous vehicle perception. This practical resource uncovers LiDAR physics, sensing principles, and system architectures essential for understanding sensor capabilities and limitations. Coverage systematically addresses signal processing methodologies, point cloud management, data compression techniques, and real-time algorithm implementation. The book explores practical applications spanning vehicle perception, simultaneous localization and mapping, high-definition mapping, and autonomous navigation across global transportation contexts including North America, Europe, and Asia. Coverage addresses signal processing optimization, sensor fusion integration with cameras and radar systems, and robust detection algorithm development. Practical sections emphasize edge computing implementation, model deployment at scale, and integration within autonomous decision systems. The text bridges fundamental theory with implementation considerations critical for real-world deployment. Coverage includes regulatory challenges, safety frameworks, V2X communication infrastructure, and interoperability considerations across regions. Readers develop competencies in LiDAR data interpretation, perception system design, and autonomous platform integration. This volume serves engineers, researchers, autonomous vehicle developers, and technology professionals seeking comprehensive understanding of LiDAR applications in smart transportation globally.