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Industry Patents

Autonomous Vehicle LiDAR Patents

Rotating, MEMS solid-state, FMCW, and OPA LiDAR IP; Velodyne, Waymo, and Luminar patent landscape for AV sensor startups.

FAQ

Who are the major autonomous vehicle LiDAR patent holders and what innovations do Velodyne, Waymo, and Luminar protect?

AV LiDAR patents cover rotating mechanical LiDAR multi-beam innovations; solid-state MEMS mirror and OPA scanning innovations; direct time-of-flight dToF single-photon avalanche diode SPAD innovations; FMCW coherent LiDAR innovations; and flash LiDAR area illumination innovations — with IP held by specialist LiDAR companies, AV platform companies, and semiconductor suppliers: MAJOR AV LiDAR PATENT HOLDERS: VELODYNE LIDAR (NOW OUSTER): 500+; specific LiDAR innovations (specific specific HDL-64E: specific specific 64-laser beam from specific specific 360° horizontal FOV from specific specific 10 Hz rotation from specific specific 905 nm class 1 laser from specific specific 120 m range at 10% reflectivity from specific specific 0.1° azimuth resolution from specific specific 0.4° vertical resolution from specific specific 2.2 million points/sec from specific specific rotating assembly upper+lower from specific specific ~$75,000 original price reduced to <$4,000 by 2020 from specific specific VLS-128 128-beam: specific specific 300 m range from specific specific 0.11° resolution from specific specific triple-return from specific specific VLP-16 Puck: specific specific 16-beam from specific specific 100 m range at specific specific 3.5 cm accuracy from specific specific OS0/OS1/OS2 Ouster: specific specific digital 64-128 beam VCSEL laser from specific specific L-shaped digital sensor from specific specific 100-240 m range from specific specific 5° tilt 360°); WAYMO: 1,000+; specific LiDAR innovations (specific specific Laser Bear custom Waymo: specific specific short-range 360° mid-range long-range sensors from specific specific 300 m range custom LiDAR from specific specific SPAD single-photon avalanche diode array from specific specific 1,550 nm wavelength eye-safe from specific specific FMCW coherent detection velocity + range from specific specific solid-state design no moving parts from specific specific on-board signal processing custom ASIC from specific specific <$1,000 manufacturing cost at scale from specific specific chirp linear frequency sweep); LUMINAR TECHNOLOGIES: 300+; INNOVIZ: 200+; CONTINENTAL: 500+; BOSCH: 500+; AEYE: 100+; AURORA: 200+.

What solid-state MEMS, OPA, and FMCW LiDAR innovations are patentable?

MEMS mirror solid-state LiDAR innovations replacing rotating assembly with micro-mirror scanning; optical phased array OPA solid-state beam steering innovations without any moving parts; and FMCW frequency-modulated continuous wave coherent LiDAR innovations providing simultaneous range and velocity represent three core next-generation AV LiDAR patent domains: MEMS MIRROR LIDAR PATENTS: INNOVIZ; CONTINENTAL; BLICKFELD; HESAI; LIVOX DJI: specific MEMS innovations (specific specific MEMS mirror solid-state: specific specific single MEMS mirror or two-axis from specific specific resonant frequency 1-30 kHz from specific specific angular deflection ±15-20° from specific specific silicon MEMS frame from specific specific electromagnetic or piezoelectric actuation from specific specific 905 nm or 1,550 nm pulsed laser source from specific specific avalanche photodiode APD or SPAD receiver from specific specific FOV 25-120° × 10-30° from specific specific InnovizTwo: specific specific MEMS mirror 200 m range from specific specific 25° H × 10° V from specific specific AEC-Q100 automotive-grade from specific specific BMW OEM design win from specific specific 200 m @ 10% reflectivity from specific specific Blickfeld Cube: specific specific MEMS horizontal 70° × 30° from specific specific 100 m range from specific specific IP65+vibration+shock automotive from specific specific Hesai AT128: specific specific MEMS 128-beam from specific specific 200 m range from specific specific 0.1° resolution autonomous truck); OPA LIDAR PATENTS: MIT MICROPHOTONICS; QUANERGY; ANALOG PHOTONICS; INTEL: specific OPA innovations (specific specific optical phased array OPA: specific specific silicon photonics waveguide array from specific specific thermo-optic phase shifters or electro-optic from specific specific Δn thermal shift 2π phase per 100°C from specific specific array pitch λ/2 for from specific specific grating lobe suppression from specific specific 100-1,000 element array from specific specific far field beam <0.1° from specific specific steering angle ±15° without moving parts from specific specific FMCW coherent: specific specific fiber laser CW 1,550 nm from specific specific chirp bandwidth 1-100 GHz from specific specific range resolution δR = c/2B 1.5-150 mm from specific specific velocity doppler shift Δf = 2vf₀/c from specific specific simultaneous range+velocity single shot from specific specific SPAD photon counting from specific specific coherent detector balanced photodiode from specific specific 2× SNR improvement vs. specific specific incoherent LiDAR at 200 m); FLASH LIDAR PATENTS: SENSE PHOTONICS; IROBOT; HESAI; BEIONICS: specific flash innovations (specific specific flash LiDAR: specific specific area illumination broad beam from specific specific VCSEL array 905 nm or 1,550 nm from specific specific 32×32 to 512×512 SPAD array from specific specific gated detection 1-5 ns time gate from specific specific 25-100 m range from specific specific 100,000 pixels simultaneous from specific specific no scanning no moving parts from specific specific Ouster OSDome: specific specific fish-eye 360° 60 fps from specific specific stacked SPAD CMOS from specific specific 20 m accurate short-range proximity from specific specific SPAD timing: specific specific 50 ps resolution from specific specific excess noise factor F=1 vs. specific specific APD F >2 from specific specific Geiger mode quench circuit from specific specific DTOF = c × Δt / 2 = 7.5 cm at 0.5 ns).

What LiDAR sensor fusion, perception stack, and automotive qualification innovations are patentable?

LiDAR point cloud processing and 3D object detection network innovations; multi-sensor camera-LiDAR-radar fusion perception innovations; and automotive LiDAR long-term reliability durability and calibration innovations represent three additional AV LiDAR patent domains: PERCEPTION STACK PATENTS: WAYMO; CRUISE; AURORA; MOBILEYE; ARGO AI (FORD): specific perception innovations (specific specific LiDAR 3D object detection: specific specific PointPillar voxelization from specific specific pillar-based voxel 0.16 m × 0.16 m from specific specific max 100 points/pillar from specific specific 2D CNN backbone from specific specific 300 fps inference Jetson Orin from specific specific PointNet++ set abstraction from specific specific 1M points 512 fps from specific specific range image BEV perspective from specific specific CenterPoint 3D Gaussian object detection from specific specific NuScenes NDS 63.0 mAP from specific specific semantic segmentation: specific specific RangeNet++ 19-class outdoor LiDAR semantic from specific specific cylinder3D voxel 3D MinkUNet from specific specific SematicKITTI 67.1 mIoU from specific specific temporal 4D fusion: specific specific 5-sweep accumulation 0.1 s from specific specific motion compensation ego-motion correction from specific specific 4D SparseCNN from specific specific HD map alignment from specific specific LiDAR-camera fusion: specific specific BEV-Fusion MIT lift-splat-shoot from specific specific 70.98 mAP NuScenes camera+LiDAR from specific specific frustum pointnet camera proposal); SENSOR FUSION PATENTS: WAYMO; TESLA; MOBILEYE; BOSCH: specific fusion innovations (specific specific multi-sensor Kalman: specific specific extended Kalman EKF radar+LiDAR+camera from specific specific measurement noise R camera 0.5 m LiDAR 0.05 m radar 0.3 m from specific specific state: [x,y,vx,vy,θ,ω] from specific specific radar low-beam LiDAR fusion: specific specific ARS540 77 GHz+LiDAR 120 m from specific specific false positive reduction 2× vs. LiDAR alone from specific specific occupancy grid fusion: specific specific 0.1 m cell Bayesian update from specific specific static+dynamic dual grid from specific specific Bayes log-odds p(occ) fusion 4 sensors from specific specific camera deep occupancy: specific specific Tesla occupancy network no LiDAR from specific specific video-in volumetric-out from specific specific 200 ms latency from specific specific 4D space-time occupancy); AUTOMOTIVE QUALIFICATION PATENTS: CONTINENTAL; VALEO; BOSCH; APTIV; LUMINAR: specific AV qualification innovations (specific specific AEC-Q100 Grade 0 LiDAR: specific specific -40 to 150°C storage from specific specific -40 to 105°C operation from specific specific 1,000 h high-temperature operating life HTOL from specific specific 1,000 h temperature humidity bias THB 85°C 85% RH from specific specific thermal cycling TC -40↔125°C 1,000 cycles from specific specific vibration 20 grms random 10-1,000 Hz JEDEC JESD22-B103 from specific specific ISO 13849 functional safety ASIL B-D from specific specific LiDAR calibration stability: specific specific boresight 0.1° repeatability from specific specific < 0.05° drift over 100,000 km from specific specific NHTSA FMVSS 118 camera lamp standard analogy from specific specific SOTIF ISO 21448 LiDAR edge cases from specific specific contamination: specific specific rain 50 mm/h from specific specific fog IBC 200 m from specific specific snow wet laser attenuation from specific specific IPxx IP65 IP67 dust+water jet from specific specific window cleaning nozzle heated).

What IP strategy should autonomous vehicle LiDAR and automotive sensing startup founders use?

AV LiDAR startup IP strategy must navigate Velodyne/Ouster&apos;s 500+ rotating LiDAR portfolio (including Velodyne&apos;s broad 905 nm rotating multi-beam patents), Waymo&apos;s 1,000+ custom LiDAR and FMCW portfolio, and Luminar&apos;s important 1,550 nm OEM-production patents — while identifying whitespace in solid-state scanning architectures, coherent FMCW detection, and next-generation chip-scale silicon photonics LiDAR: AV LIDAR STARTUP IP STRATEGY: UNDERSTAND THE LIDAR PATENT LANDSCAPE: VELODYNE HOLDS BROAD 905 NM ROTATING MULTI-BEAM IP — SOLID-STATE IS LESS ENCUMBERED: Velodyne (now merged with Ouster, 500+) holds important rotating multi-beam LiDAR IP covering 360° scanning, vertical channel arrays, and dual-return processing — solid-state MEMS and OPA architectures are generally less encumbered by Velodyne IP; WAYMO FMCW AND CUSTOM LIDAR IP IS BROAD BUT FOCUSED ON INTEGRATED SELF-DRIVING SYSTEM: Waymo (1,000+) holds important FMCW coherent LiDAR IP (simultaneous range+velocity, 1,550 nm eye-safe, SPAD array) but much of the Waymo LiDAR IP is tied to a vertically integrated AV system context — component-level FMCW LiDAR IP for automotive supply chain applications may have more whitespace; LUMINAR 1,550 NM IP IS IMPORTANT FOR LONG-RANGE AUTOMOTIVE: Luminar (300+) holds key 1,550 nm InGaAs receiver LiDAR IP for automotive long-range sensing — 1,550 nm enables eye-safe higher power and better atmospheric penetration; however the 1,550 nm supply chain is more expensive than 905 nm; WHEN TO PATENT IN AV LIDAR: NOVEL LIDAR ARCHITECTURE WITH MEASURED RANGE RESOLUTION AND COST ADVANTAGE: specific novel LiDAR architecture (specific specific scanning/detection modality + specific specific wavelength + specific specific receiver architecture) with specific measured performance (specific specific range m at specific specific % target reflectivity at specific specific laser power class 1 or 3R/3B, specific specific angular resolution ° H and V, specific specific range accuracy cm at specific specific distance, specific specific frame rate Hz, specific specific number of simultaneous channels, specific specific cost at specific specific production volume units/year in $/unit) vs. specific specific Velodyne HDL-64E 120 m 0.1° 10 Hz $4,000 volume, or specific specific Luminar Iris 250 m 0.04° $500 OEM volume, or specific specific Innoviz InnovizTwo 200 m 25° BMW OEM — range + resolution + cost vs. an established OEM design-win baseline is the single most commercially important AV LiDAR IP metric; NOVEL FMCW SILICON PHOTONICS CHIP LIDAR WITH MEASURED VELOCITY RESOLUTION: specific novel chip-scale coherent FMCW LiDAR (specific specific silicon photonics platform + specific specific chirp parameters + specific specific receiver architecture) with specific measured performance (specific specific range resolution δR = c/2B cm at specific specific chirp bandwidth B GHz, specific specific velocity resolution δv = λ/2T m/s at specific specific integration time T ms, specific specific SNR dB at specific specific range m, specific specific chip area mm², specific specific power consumption mW, specific specific CMOS fabrication node nm, specific specific cost at specific specific wafer-level integration) vs. specific specific Aeva 200 m 0.04° FMCW or specific specific Blackmore 1,550 nm coherent baseline — chip integration and cost structure vs. discrete component baseline is the key FMCW LiDAR IP differentiator for automotive startups; KEY FTO CHECKLIST: Velodyne HDL-64E 64-beam 360° 905 nm 120 m 0.1° 2.2M pts/sec VLS-128 300 m; Ouster OS1/OS2 VCSEL digital 64-128 beam 100-240 m 0.11°; Waymo custom FMCW 1,550 nm SPAD coherent 300 m velocity+range; Luminar Iris 1,550 nm InGaAs 250 m 0.04° Volvo OEM; Innoviz InnovizTwo MEMS 25° 200 m BMW OEM AEC-Q100; Continental HLDS HFL110 flash LiDAR 905 nm 50 m; MEMS 1-30 kHz ±15-20° EM/piezo actuation Si frame; OPA silicon photonics thermo-optic Δn 2π per 100°C λ/2 pitch 0.1° beam; FMCW c/2B δR coherent doppler 2vf₀/c simultaneous; SPAD 50 ps timing Geiger quench F=1 vs. APD F>2; PointPillar 300 fps; BEV-Fusion 70.98 mAP; EKF radar+LiDAR 0.05 m; AEC-Q100 Grade 0 -40/105°C HTOL THB TC 1,000 cycles; ASIL B-D ISO 13849.

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