Shuaiwen Chen

Efficient and Hardware-Friendly Online Adaptation for Deep Stereo Depth Estimation on Embedded Robots

Accurate and real-time stereo depth estimation is important for autonomous robots, such as autonomous aerial vehicles (AAVs). Due to the computation constraints of these miniaturized robots, current state-of-the-art algorithms deploy light-weight neural networks while using self-supervised online ad