lidarsystem.dev


#Lidar System | Development


#Ouster | Ouster SDK Package | Hardware User Manual | Sensor CAD Models | Accessory CAD Models | Firmware Image | Firmware User Manual | Thermal Integration Guide | API Guide | Ouster SDK Documentation | Ouster Studio VisualizerOuster Studio Executable | C++/Python/ROS/Viz Source Code (Github) | WebSLAM | Windows / Mac / Linux | High resolution scanning and solid-state digital lidar sensors | 90° field-of-view | Operating temperature range of -40 to +60°C | Certified IP68 and IP69K for ingress protection | Visibility in rain and snow | 35m range at 10% reflectivity | 100m max range | Produced in San Francisco | Manufacturing partner, Benchmark Electronics, in Thailand | L4 powered OS sensor prototype | Chronos chip | BlueCity achieved NEMA TS2 certification for safe traffic control | Buy America certified lidar


#Velodyne Lidar | Lidar based perception software | VDK for short range pedestrian detection, collision avoidance and cross reference


#Knightscope | Multi terrain four wheel version robot is under development


#Boston Dynamics | Velodyne sensors


#NVIDIA | Isaac SDK | Robot Development Kit | Jetson platform | Velodyne lidar sensor | DRIVE compute architecture


#Clearpath Robotics | Unmanned vehicle robotics for research and development


#Scaled Robotics | Digitizing construction | Employing unmanned ground vehicles (UGV) | Using Clearpath Robotics Husky UGV and Jackal UGV equipped with Velodyne lidar sensors


#Robotic Research | Automated boarding and securement for wheelchair passengers | Velodyne lidar | Point cloud generated by lidar data provides critical input for detecting, classifying and predicting the motion of passengers on or around the lift | Autonomous shuttles


#AutonomouStuff | Open Autonomy Pilot (OAP) | Lexus RX450h Automated Research Development Platform outfitted with a Velodyne lidar


#Unitree Robotics | Laikago quadruped robot | Equipped with the Velodyne Puck |Can be used as a fully autonomous machine with Isaac SDK


#Outsight | Real-time 3D LiDAR perception solutions | SHIFT LiDAR Software | Real-time 3D LiDAR pre-processor | Enables application developers and integrators to easily utilize LiDAR data from any supplier | Integrate any LiDAR into any project (SLAM, object detection and tracking, segmentation and classification)


#IDTechEx | Lidar technology research


#Edge AI and Vision Alliance | Embedded Vision Summit


#Viva Technology in Paris | 3D LiDAR-based Software | Transforming raw data from LiDAR into real-time actionable insights | Outsight


#Voyant Photonics | LiDAR sensors for autonomous vehicles


#Quanergy Quanergy


#MicroVision | Compact LiDAR sensors


#Luminar | Lidar sensors and perception software


#Livox | Lidar sensors


#Leishen Lidar | Lidar sensors


#Hesai | Perception software solutions


#Blickfeld | Lidar sensors


#Baraja | Spectrum-Scan lidar | Prism-like optics splitting light beam into different colors, allowing for high-resolution 3D imaging with a simpler, more reliable design


#Outrider | Autonomy kit for yard operations | Ouster


#Blue White Robotics | Development kit for autonomous farm | Cameras | GPS | Ouster OS1 LiDAR sensor


#Leica Geosystem BLK-247 | two LiDARs, providing 360° vertical and horizontal coverage | two RGB context cameras | four thermal cameras


#Nvidia | NVIDIA Driveworks Driver


#Ommatidia Lidar | ESA mission: metrology instrument for in-orbit characterization of large deployable reflectors (LDRs) | Recovering shape of nextgen large reflectors working at short wavelength bands for Earth observation or telecommunication | Product: 3D Light Field Sensor | Channels: 128 parallel | Imaging vibrometry functionality | Target accuracy: 10µm | Measurement range: 0.5-20 m | Measurement accuracy (MPE): 20 + 6 μ/m | Angular range 30 x 360 | Vibrometry sampling frequenvy: 40 kHz | Vibrometry max in-band velocity: 15.5 mm/s | Power consumption: 45W | Battery operation time: 240 min | Interface: Ethernet | Format: CSV / VKT / STL / PLY / TXT | Dimension: 150x228x382 mm | Weight: 7,5 kg | Pointer: ~633 nm | Temperature range: 0/40 ºC | Environmental protection class: IP54 | Eye safety: Class 1M | Raw point clouds: over 1 million points | Calibration: metrology-grade with compensation of thermal and atmospheric effects | Geotagging: GPS | Output: 3D profiles of large objects


#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67


#Pinecone Systems | Vector database | 3x more capacity: 2 GB of storage, 300k vectors | 5x more indexes: up to 5 indexes with up to 100 namespaces | Seamless upgrade and scaling


#SiLC | Machine Vision solutions with FMCW LiDAR vision | FMCW at the 1550nm wavelength | Eyeonic Vision Sensor platform | Detecting vehicles and various obstacles from long distances | Honda Xcelerator Ventures | Honda Marine


#Flyability | Drones for industrial inspection and analysis | Confined space inspection | Collision and crash resistant inspection drone | 3D mapping | Volumetric measurement | Inspections of cargo ships, bridges, ports, steel mills cement factories, liquid gas tanks, nuclear facilities, city wide underground sewage systems | Ouster lidar


#Genetec | Security Center Platform | Ouster Gemini integrated | Fusing lidar and video surveillance into a single interface | Unifying customer data from lidar, cameras and radar | Physical intrusion detection in real-time | Using 3D data to power automated detection, classification, tracking, and monitoring | Measuring the distance, trajectory or speed of people or vehicles | Quickly identifying and responding to real threats with confidence | Reducing false alarms


#Linux Foundation | LF AI & Data | Fostering open source innovation in artificial intelligence and data | Open Platform for Enterprise AI (OPEA) | Creating flexible, scalable Generative AI systems | Promoting sustainable ecosystem for open source AI solutions | Simplifying the deployment of generative AI (GenAI) systems | Standardization of Retrieval-Augmented Generation (RAG) | Supporting Linux development and open-source software projects | Linux kernel | Linus Torvalds