FURI | Spring 2023
Real-Time Object Detection Using Image and Lidar Data
The system uses lidar and camera sensors in combination with an object detection model to identify vehicles and determine their distance from the sensor system. The purpose of this research project is to aid drivers in recognizing potential road hazards, and the technology could potentially be integrated into a car’s safety system to help prevent collisions. To enable real-time operation with low power consumption, the system is deployed on an NVIDIA Jetson AGX Xavier, taking advantage of its embedded GPU.
Student researcher
Vu Trung Nghia Nguyen
Electrical engineering
Hometown: Ho Chi Minh city, Ho Chi Minh, Vietnam
Graduation date: Spring 2023