2 papers
eess.IV2024
FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging
Justin Folden, Atul Ingle, Sanjeev J. Koppal
Fast, efficient, and accurate depth-sensing is important for safety-critical applications such as autonomous vehicles. Direct time-of-flight LiDAR has the potential to fulfill thes…
cs.CV2020
Towards a MEMS-based Adaptive LIDAR
Francesco Pittaluga, Zaid Tasneem, Justin Folden +3
We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and ca…