Su Pang
About Su Pang
Su Pang is a Perception ML Engineer with expertise in semantic segmentation and 3D object detection, particularly for autonomous vehicle systems. Currently employed at Nuro since 2022, he has contributed to various research initiatives and holds a PhD from Michigan State University.
Work at Nuro
Su Pang has been employed at Nuro as a Perception ML Engineer since 2022. In this role, Pang specializes in LiDAR flow and occupancy estimation, contributing to the development of perception systems for autonomous vehicles. Nuro focuses on creating autonomous delivery vehicles, and Pang's expertise in semantic segmentation and 3D object detection is integral to enhancing the vehicle's perception capabilities.
Education and Expertise
Su Pang holds a Doctor of Philosophy (PhD) from Michigan State University, where the focus was on 2D/3D Object Detection and Tracking, and Sensor Fusion for Perception. Pang also earned a Master's degree in Control Science & Engineering from Harbin Institute of Technology and a Bachelor's degree in Automation Engineer Technology from Central South University. This educational background supports Pang's expertise in perception systems, particularly in the context of autonomous vehicles.
Background
Before joining Nuro, Su Pang participated in the MSU Connected and Autonomous Networked Vehicles for Active Safety (CANVAS) program, where the focus was on developing perception systems for autonomous vehicles. Pang also worked as a Research Scholar at the SRC Research Scholars Program from 2019 to 2022 and had a brief tenure as an ADAS Researcher at Ford Motor Company in 2021. Additionally, Pang served as a Researcher PhD Student at Michigan State University from 2017 to 2022.
Achievements
Su Pang's contributions to the field of autonomous vehicle perception systems are notable. During the tenure at Michigan State University, Pang focused on advanced topics such as semantic segmentation and 3D object detection, which are critical for the functionality of autonomous vehicles. The involvement in the CANVAS program further highlights Pang's commitment to enhancing active safety in connected and autonomous vehicles.