1. Introduction to LiDAR 2. LiDAR data compression 3. Ground Segmentation on LiDAR Data 4. LiDAR 3D point Cloud segmentation 5. LiDAR Based Object Detection?6. LiDAR Based Multi-Object Tracking 7. LiDAR based 3D map creation 8. LiDAR based Localization for Autonomous Navigation 9. Multi LiDAR Calibration and Setups 10. Tools for LiDAR data Processing
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.
Rajalakshmi Pachamuthu is currently a Professor at the Indian Institute of Technology Hyderabad, India, and the Project Director of the Technology Innovation Hub on Autonomous Navigation (TIHAN), a Section 8 company established at IIT Hyderabad under the National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS). She received a PhD from the Indian Institute of Technology Madras, India, in 2008. With more than 250 internationally reputed research publications, her research interests include Autonomous vehicles, Advanced Driver Assistance Systems (ADAS), drone-based sensing, the Internet of Things, artificial intelligence, cyber-physical systems, sensor networks, and wireless networks. She has directed 17 projects as a PI & Co-PI, including the Project Director TIHAN and Data Acquisition Systems (UAV, RoV.) under DST's NM-ICPS. She has been a member of various national and international bodies, including the Expert Committee - Engineering Sciences (Start-up Research Grant, National Post-Doctoral Fellowships, and Early Career Research Award Schemes) since July 2021. She was awarded as many awards, including 'CYIENT Chair Professor in Future Communications' at IITH in April 2021 for a period of 3 years and The Digital Trail Blazer Award 2016lÓ(