Cedric Scheerlinck

I am a deep learning research engineer at Zoox working on AI models that enable robotaxi to predict the intention and future behavior of surrounding vehicles, pedestrians etc. to drive safely and fully autonomously.

Previously I was a senior deep learning engineer at Skydio for three years working on autonomous drones for inspection, monitoring, search and rescue. I worked on the full data/training/evaluation pipeline for perception, semantic segmentation, 3d reconstruction and obstacle avoidance. I trained a novel night obstacle avoidance model that enables the drone to see in the dark, leading to the successful launch of a new product feature: NightSense.

I completed my PhD at the Australian National University and the Australian Center for Robotic Vision in 2021. My research was on Robotic Vision: image processing to allow robots to see and make sense of the world. I created novel algorithms and AI models to decode visual signals from event cameras (novel sensors that work like a human eye), ultimately unlocking high-speed, HDR, real-time video/perception from tiny efficient sensors.