From Conventional to Modern: The Evolution of Radar and Lidar Technologies

Traces radar and lidar from classical systems to modern techniques, highlighting principles, applications and recent advances.

Engineers & researchers in radar, Lidar, autonomous systems, and signal processing.

Industry professionals in aerospace, defense, automotive, IoT, and smart mobility.

Academics & students studying wireless sensing, AI, or embedded systems.

Tech entrepreneurs & innovators exploring radar/Lidar applications in healthcare, robotics, or automation.

System designers, solution architects, and developers interested in implementing Radar and Lidar technologies.

Fundamentals of Radar Systems:

1. Review of Basics and Introduction to Radar;
2. Radar Fundamentals: Detection, Range, Velocity, Target Location;
3. Radar Equations: Pulse, Search, Tracking, Bistatic Equations;
4. Pulse Compression and Jamming;
5. Targets and Interference: RCS, Radar Clutter, Noise.

Advanced Radar Topics and Applications:

1. MIMO Radar: Principles, Advantages, and Applications;
2. Phased Array Radar and its Relation to MIMO Radar;
3. Integrated Sensing and Communication (ISAC): Concept, Principles, and MIMO Radar as a Foundation;
4. Real-World Case Studies: Autonomous Vehicles, Activity Recognition, and Healthcare Monitoring;
5. Hands-on Simulation Exercises and Live Demonstrations.

LIDAR Technology

1. A Bigger Picture;
2. What is Lidar?;
3. Lidar Fundamental and how it works;
4. Scanning Mechanism, data collection, IMU and GPS sensors;
5. Emission, reflection, and time of flight;
6. Point Cloud Processing, How raw LiDAR data is transformed into usable 3D models;
7. Types of Lidar, Airborn, Terrestrial;
8. Application of Lidars (Autonomous driving, Agriculture, Archaeology, Smart Cities);
9. Comparsion with radar and sonar and Limitations;
10. Mini Case Study Walk through a small dataset (e.g., mapping a street corner).

• Lecture slides;
• Reference papers.

09.00 a.m. - 1.00 p.m. (Eastern Time)