All Projects

Autonomous vehicle course project using ROS2 and computer vision. Developed lane following and object detection algorithms for a 1/10th scale car. We implemented a PID controller for lane centering and a YOLO-based object detector for stop sign and pedestrian recognition. The system runs on an NVIDIA Jetson Orin Nano.

Software lead for Triton UAS, designing and programming autonomous flight systems. The pipeline processes image and telemetry data to perform coordinate transformations and object tracking. We compete in the AUVSI SUAS competition, where we are tasked with autonomous waypoint navigation, obstacle avoidance, and air-delivery.

Fabricated an ultra-lightweight UAV. Conducted material research on PLA variants using MATLAB and NumPy to evaluate aerial performance and optimize cost efficiency. The goal was to create a rapidly manufacturable drone frame that could withstand flight stresses while minimizing weight.