Phase-coherent LiDAR is the velocity-sensing camp's signature hardware, and this claim builds the perception stack on top of it. Aurora Operations' grant US11933902B2 ("Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data," issued March 19, 2024; inventors include Sterling J. Anderson, James Andrew Bagnell, Christopher Paul Urmson) classifies objects using the per-point velocity that coherent LiDAR provides, then controls the vehicle on that basis.
The mechanism exploits what FMCW LiDAR uniquely gives you: instantaneous radial velocity at every return. That lets the classifier distinguish a moving pedestrian from a static post not just by shape but by motion, in a single frame — G06V 20/58 (object recognition for driving) and G06T 7/70 (pose) over a velocity-rich point cloud. The classification then feeds control (G05D 1/0088, 1/024). Motion becomes a first-class classification feature.
For the control-and-perception beat, this is the natural sequel to Aurora's Blackmore FMCW hardware patents: having fenced the velocity-sensing LiDAR (US11500106B2), Aurora here fences the perception that consumes its distinctive signal. That's a vertically integrated camp commitment — own the sensor and the perception that only that sensor enables. It's a deliberate bet that velocity-native sensing is the durable advantage.
From a portfolio angle, the inventor overlap with Aurora's other autonomy grants (the ex-Waymo/CMU founder cluster) marks this as core-thesis IP, not peripheral. A perception-to-control claim grounded specifically in phase-coherent data is hard for vision-only or conventional-ToF-LiDAR competitors to read on — which is exactly why it's strategically clean: the moat is the sensor modality itself.
Caveats. Velocity-aided classification has prior art in radar-based perception; the grant turns on the specific phase-coherent-LiDAR classification method in claim 1, not on velocity classification generally. The 'phase coherent' limitation narrows the claim to FMCW systems. Read the independent claim for how velocity enters the classifier.
For the file: a coherent-LiDAR perception-to-control grant completing Aurora's velocity-sensing vertical. Pull US11933902B2 alongside the Blackmore hardware family on PatentBear, read claim 1 for the velocity-classification step, and file it firmly in the velocity-LiDAR camp.