Light Detection and Ranging (LIDAR)

This course provides a comprehensive understanding of LiDAR (Light Detection and Ranging) technology, which is widely used for remote sensing, topographic mapping, autonomous vehicles, environmental monitoring, and geospatial applications.

• Introduction to LiDAR: Basic principles and working principles of LiDAR systems,
• Components of LiDAR systems: Laser emitter, receiver, scanner, GPS, and IMU (Inertial Measurement Unit),
• Types of LiDAR systems: Terrestrial LiDAR, Airborne LiDAR, and Mobile LiDAR, LiDAR waveforms and the concept of time-of-flight and pulse duration, Point cloud generation and data acquisition,
• LiDAR data processing: Filtering, classification, and segmentation of point clouds, Applications of LiDAR in topographic mapping, 3D modeling, and urban planning, LiDAR for autonomous vehicles, drone-based sensing, and robotics, Integration of LiDAR data with GIS (Geographical Information Systems),
• Challenges and limitations: Accuracy, resolution, noise reduction, and environmental factors,
• Future trends in LiDAR technology: Advances in LiDAR for 3D imaging, LiDAR for environmental monitoring, and high-resolution LiDAR systems

• Remote sensing and geospatial engineers working on mapping, surveying, and GIS-based analysis

• Autonomous vehicle and robotics developers utilizing LiDAR for perception, navigation, and obstacle detection

• Optical and photonics engineers interested in laser ranging, scanning mechanisms, and sensor design

• Civil, environmental, and urban planning professionals using 3D terrain and infrastructure modeling tools

• Aerospace and drone system engineers developing airborne or mobile LiDAR platforms

• Researchers and graduate students in electrical/electronics engineering, geomatics, computer vision, and applied physics