LiDAR Technology for Intelligent Transportation and Autonomous Systems

£55.99

LiDAR Technology for Intelligent Transportation and Autonomous Systems

Electrical engineering Robotics Automotive technology and trades Information technology: general topics Database design and theory Artificial intelligence

Authors: Rajalakshmi Pachamuthu, Bhaskar Anand, Abhishek Thakur, Parvez Alam

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Language: English

Published by: Chapman and Hall/CRC

Published on: 5th November 2025

Format: LCP-protected ePub

ISBN: 9781040427125


Introduction

This book explores the critical role of LiDAR technology in autonomous navigation and advanced driver assistance systems (ADAS). It explores the fundamental principles of LiDAR, comparing it with other sensor technologies like radar and cameras while examining the various types of LiDAR systems, including time-of-flight, flash, and frequency-modulated continuous wave systems.

Real-World Use Cases

It emphasises real-world use cases, including setting up LiDAR data acquisition systems and addressing challenges like sensor calibration, alignment, and integration into autonomous systems. Discusses in detail LiDAR's working principles, laser pulse wavelengths, point cloud data, motion compensation, and datasets commonly used in LiDAR research.

Environmental Challenges

It examines the effects of ambient light, adverse weather conditions (rain, fog, snow), and practical strategies for mitigating these challenges.

Object Detection and Mapping

Describes advanced methods for object detection, segmentation, and multi-object tracking using LiDAR point clouds, including solutions like AnchorPoint and Smart3DMOT. Presents techniques for creating high-definition 3D maps and implementing SLAM (Simultaneous Localization and Mapping) that are essential for autonomous navigation.

Practical Insights

Offers practical insights into autonomous navigation, including LiDAR-based localization, path planning, obstacle avoidance, and real-world case studies like autonomous shuttles.

Sensor Calibration and Data Processing

Explores multi-LiDAR calibration, emphasizing alignment, fusion, and synchronization to enhance coverage and reduce blind spots in autonomous systems. Offers a detailed guide on open-source LiDAR processing tools like PCL, Open3D, and ROS for data handling and visualization.

Conclusion

By combining theoretical principles with practical applications and case studies, this book serves as a reference book for academics and researchers in computer science, electronics, communication engineering, and autonomous technologies.

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