  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 calibration, which enables fast sparse depth
measurements using a scanning MEMS (micro-electro-mechanical) mirror. We
validate the efficacy of our prototype LIDAR design by testing on over 75
static and dynamic scenes spanning a range of environments. We show CNN-based
depth-map completion experiments which demonstrate that our sensor can realize
adaptive depth sensing for dynamic scenes.
