Rangefinder-Calibrated Monocular Depth Estimation on F1/10 Auto-Racing Cars

At the University of Pennsylvania's xLAB, this project aims to enhance depth estimation in autonomous racing cars using rangefinder calibration. It involves developing and calibrating algorithms for accurate depth perception in high-speed racing scenarios.

Detailed Project Description: This innovative project leverages rangefinder technology to calibrate and improve monocular depth estimation systems in F1/10 scale autonomous racing cars, significantly boosting their navigational capabilities and safety in high-speed conditions.