Autonomy Systems

Behavior Systems

Prediction & Planning

Developed industry strength real-time C++ code for autonomous trucks in a highway setting. Exposure to motion planning and predictions. Helped develop and deploy an ML model to aid in lane change predictions based on real world driving data.

Worked on real-time C++ applications using open-source libraries (OpenCV, Eigen, etc...) and middle-ware (ROS) to interface with cameras and perform object segmentation and detection. Developed a robust object detection framework and application with funding from Nevada Undergraduate Research Award.