lidarsystem.dev
#Lidar System | Development
#Ouster | Ouster adds Rev8 OS digital lidar integrations across NVIDIA Jetson Platform | Native color lidar sensing to NVIDIA Robotics ecosystem to power next wave of Physical AI | Rev8 is powered by next-generation L4 Ouster Silicon | Isaac ROS, allowing Rev8 rich, high-density point clouds to be ingested directly into NVIDIA hardware-accelerated perception pipelines | Native support for Rev8 sensors within open NVIDIA Isaac Sim simulation framework | Developers can harness physically accurate 3D lidar models to evaluate range, resolution, color, and intensity to generate accurate synthetic data to train machine learning models and validate full perception pipelines prior to physical deployment | Ouster drivers are tuned to leverage NVIDIA Jetson AGX Orin and Jetson Thor, providing real-time, low-latency processing required for 3D SLAM, obstacle detection, and sensor fusion at edge | NVIDIA NPN partner | Building blocks for Physical AI, enabling machines to sense, think, and act in real world
#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 | GPU Deep Learning | GPU acting as the brain of computing | Robots and self driving cars can perceive and unferstand the world | Accelerating the entire AI workflow | AI agents designed to reason, plan, and act | Conversational AI: multilingual speech and translation AI | Vision AI: multimodal real-time insights | AI factories: manufacturing intelligence at scale | Purpose-built AI factories | AI life-cycle | Humanoid robotics research and development platform | Machine Learning | Neural networks | Natural language processing | Speech recognition | Recommender systems | Biomedical image segmentation | Object detection | Image classification | Reinforcement learning
#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
#Lase | Industrial laser measurement technology | Measurement system for accurate truck positioning | Truck volume measurement systems | Automatic Yard Crane systems | Exact three-dimensional position measurements of containers | Enabling high-precision pick-up and set-down tasks during stacking crane operation | Bulk material handling | Logistics | Ports | Steel
#Weebit Nano | Resistive RAM (ReRAM) technology | onsemi signed licensing deal | Treo platform to provide embedded non-volatile memory | ReRAM integration into Bipolar CMOS DMOS (BCD) process | Potential alternative to flash memory | Demand for faster, more efficient, and scalable memory solutions increasing | Lower power consumption | Less vulnerable to common hacking tactics | ReRAM can be integrated easily into chip designs without interfering with power analog components
#Ouster | Ouster adds Rev8 OS digital lidar integrations across NVIDIA Jetson Platform | Native color lidar sensing to NVIDIA Robotics ecosystem to power next wave of Physical AI | Rev8 is powered by next-generation L4 Ouster Silicon | Isaac ROS, allowing Rev8 rich, high-density point clouds to be ingested directly into NVIDIA hardware-accelerated perception pipelines | Native support for Rev8 sensors within open NVIDIA Isaac Sim simulation framework | Developers can harness physically accurate 3D lidar models to evaluate range, resolution, color, and intensity to generate accurate synthetic data to train machine learning models and validate full perception pipelines prior to physical deployment | Ouster drivers are tuned to leverage NVIDIA Jetson AGX Orin and Jetson Thor, providing real-time, low-latency processing required for 3D SLAM, obstacle detection, and sensor fusion at edge | NVIDIA NPN partner | Building blocks for Physical AI, enabling machines to sense, think, and act in real world
#VORAGO | Radiation hardened and radiation tolerant microcontrollers and microprocessors | High-volume manufacturing to harden commercially designed semiconductor component | Empowers mission success | Radiation-hardened ICs that excel in extreme environments | ARM | Texas Instruments | Brainchip | Custom hardware and firmware solutions tailored to withstand extreme environments | Ensuring that mission-critical components remain resilient | Custom solutions, armed with space-grade electronics and an ARM Cortex microcontrollers | International Space Station: dies measuring the effects of protons and cosmic rays | Satelites: devices utilized in Department of Defense Space Test Program (STP) missions | CubeSats: ARM microvontroller | Semiconductor components and solutions for extreme temperature environments up to +200°C
#NavVis | Point cloud processing workflow | Surveying | Laser scanning | Process laser scan data captured using NavVis technology from anywhere with internet connection | View and validate every control point | Ensure data privacy with fully automated and integrated blurring functionality | Point cloud presets | Environment-specific point cloud modes | Generate photorealistic point clouds automatically cleaned of dynamic objects while preserving original details and colors | Upload your geo-referenced control points file in global coordinate system | Automatically geo-register your point cloud | View control points exact location on quality map | Locate, verify, select/deselect control points to identify any potential errors before processing begins | Automated image anonymization process | Detecting and blurring individuals’ faces, bodies, and license plates in images and point clouds captured with NavVis devices | Confidently create and share projects that meet strict data confidentiality | Meet compliance standards, including GDPR requirements | Download comprehensive quality report | Detailed information on data accuracy
#Rijkswaterstaat | Dutch Ministry of Infrastructure and Water Management | Harbour Master of Rotterdam | Planning to develop a warning system based on lidar (3-D radar) | Inland vessels collide with Willemsbrug | Collisions receive a great deal of public attention occurring in densely populated urban area | Collisions involving bridges involve a certain level of risk | Royal Dutch Inland Shipping Association | Platform Zero Incidents | Rotterdam-Rijnmond Safety Region | Dutch Ministry of Defence | Dutch National Coordinator for Security and Counterterrorism (NCTV) | FERM Foundation
#Robotics & AI Institute | Collaborates with Boston Dynamics | Developed jointly Reinforcement Learning Researcher Kit for Spot quadruped robot | Developing sim-to-real for mobility | Transferring simulation results to real robotic hardware | Bridging sim-to-reality gap | Training policies generating a variety of agile behavior on physical hardware | Trying to achieve novel, robust, and practical locomotion behavior | Improving whole body loco-manipulation | Developing robot capability to manipulate objects and fixtures, such as doors and levers, in conjunction with locomotion significantly enhancing its utility | Exploring new policies to improve robustness in scenarios | Exploring full-body contact strategies | Exploring high-performance, whole-body locomotion and tasks that require full-body contact strategies, such as dynamic running and full-body manipulation of heavy objects, necessitating close coordination between arms and legs | Aiming to utilize reinforcement learning to generate behavior during complex contact events without imposing strict requirements | Develop technology that enables future generations of intelligent machines | Streamlining processes for robots to achieve new skills | Developing perception, situational understanding, reasoning, cognitive functions underpinning robot abilities and combining them with advances in their physical capabilities | Conducting research in four core areas: cognitive AI, athletic AI, organic hardware design, and ethics related to robotics
#UC Berkeley, CA, USA | Professor Trevor Darrell | Advancing machine intelligence | Methods for training vision models | Enabling robots to determine appropriate actions in novel situations | Approaches to make VLMs smaller and more efficient while retaining accuracy | How LLMs can be used as visual reasoning coordinators, overseeing the use of multiple task-specific models | Utilizing visual intelligence at home while preserving privacy | Focused on advancements in object detection, semantic segmentation and feature extraction techniques | Researched advanced unsupervised learning techniques and adaptive models | Researched cross-modal methods that integrate various data types | Advised SafelyYou, Nexar, SuperAnnotate. Pinterest, Tyzx, IQ Engines, Koozoo, BotSquare/Flutter, MetaMind, Trendage, Center Stage, KiwiBot, WaveOne, DeepScale, Grabango | Co-founder and President of Prompt AI
#MemryX | AI Accelerator Module | Install system software, MemryX SDK, MemryX board | Compile AI model(s) making executable file | Send data & receive results using APIs for AI processing | Up to 6 TFLOPs (1GHz) per chip | Up to 16-chips (96 TOPS/TFLOPs) can be interconnected | Activations: bfloat16 (high accuracy) | Weights: 4 / 8 / 16 bit | Batch = 1 | 10.5M 8-bit parameters (weights) per chip | PCIe Gen 3 I/O | USB 3 interface | 0.6-2W per chip av power | Smart compiler: optimized and automated AI mapping to MemryX hardware | Powerful APIs: Python and C/C++ low and mid-level APIs for AI integration | Runtime: driver and firmware to support Windows or Linux distributions | Bit Accurate simulator: accurately testing models even without MemryX hardware
#Optex | LiDAR Perimeter Security | Deploying invisible wall or plane, protecting buildings or assets | Intrusion detection | Accurate outdoor and indoor security sensors with LiDAR technology | Advanced detection capabilities | Long-range customisable detection zones | Enhanced environmental resistance | Creating virtual plane or wall to protect perimeters, buildings, and assets | Analysing size and distance of moving objects | Providing accurate point detection by tracking X & Y coordinates of moving objects | Defining type of intrusion based on object size | Differentiating between people, animals, vehicles, drones and more | Triggering right notifications | Up to 8 detection zones independently configurable allowing for multiple sensitivity scenarios | Integrated camera | -40 using a heated lens | Dynamic event filtering | Detection zone as two parts - judgment and alarm zonen| Intelligent logic to alarm based on detected vehicle size | Customise triggers | Virtual walls and planes | Securing a luxury Villa in Tuscany, Italy | Using sensors capable of creating customisable detection zones within compact footprint, in order to protect narrow and specific areas of the property | 13 REDSCAN mini sensors based on LiDAR technology installed | Seamlessly blending with the villa architecture | Sensors painted in same colour as corresponding walls | HTTP-based network modules
#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | Fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision
#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping
#Automate | Robotics and automation event | AI and robotics | Automation trends
#GAM | Precision mechanical manufacturer of drive solutions used in automation technology | Engineering solutions for demanding environments | Robotic gearboxes | Servo-gearboxes | Precision spiral bevel gearboxes | Rack and pinion | Servo-couplings | GPL Robotic Planetary | GCL Cycloidal | GSL Strain Wave | Linear Mount Products for Cartesian Robots | Backlash <0.1 arcmin (6 arcsec) of gearbox, no adjustment necessary | Operation temperatures -40°C to 70°C (-40°F to 160°F) | 20,000 hours operational life | Torque 3500 Nm (31,000 in-lb)
#NVIDIA DRIVE AGX Thor developer kit | Enabling the development of safer, smarter autonomous vehicles and transportation solutions | Autonomous vehicle systems rapidly grow in complexity, equipped with reasoning vision language action models, generative AI and advanced sensor technologies | Platform accelerates the design, testing and deployment of AVs and intelligent mobility solutions | Built on NVIDIA Blackwell architecture, next-generation Arm Neoverse V3AE CPUs and NVIDIA DriveOS 7 software stack | Purpose-built for reasoning vision language action models | Ideal for automotive development | Sufficient I/O to support surround cameras, radars and lidars, common vehicle interfaces including GbE/10GbE and PCI-Express | Meets automotive industry stringent functional safety (ISO 26262) and cybersecurity requirements (ISO 21434) | Automotive companies: are building BYD, GAC, IM Motors, Li Auto, Volvo Cars, Xiaomi, Zeekr | Autonomous trucking companies: Aurora, Gatik, PlusAI, Waabi | NVIDIA AV partners: DeepRoute.ai, Nuro, WeRide, ZYT | Tier 1 suppliers: Continental Automotive, Desay SV, Lenovo, Magna, Quanta | Technology pioneers: AdaCore, Lauterbach, OMNIVISION, QNX, Vector | Three computers: NVIDIA DGX for AI training, NVIDIA Omniverse and NVIDIA Cosmos running on NVIDIA OVX for simulation, and NVIDIA DRIVE AGX for deployment
#LASE | Laser distance sensors | Multilayer sensors | Laser scanners
#Export-Import Bank of the United States | The official export credit agency of the United States | Supporting American job creation, prosperity and security through exporting | Issuing letters of interest for over $2.2 billion in financing for critical mineral projects | Supply Chain Resiliency Initiative (SCRI) to help secure supply chains of critical minerals and rare earth elements for U.S. businesses | Maintaining access to critical materials to secure U.S. jobs in sectors like battery, automobile, and semiconductor manufacturing | SCRI provides financing for international projects with signed long-term off-take contracts with U.S. companies, providing these U.S. companies with access to critical minerals from partner countries | SCRI: EXIM financing is tied to import authority and the financed amount depends on the amount of the off-take contract between the foreign project and the U.S. importer | Off-take agreements ensure that EXIM financing for critical minerals projects benefits American companies and workers | For U.S. domestic production in critical minerals and rare earth elements, EXIM can provide financing through Make More in America Initiative (MMIA) | SCRI: project must have signed off-take contracts that will result in the critical minerals and rare earth elements output being utilized in the United States, for products that are manufactured in the United States
#ZX Lidars | Continuous Wave Lidar at sea.| Routinely operate for 3 years autonomously in the harsh offshore | 50 wind measurement points per second optimised for high motion applications offshore | Records measurements from 10-300m with high data availability at all heights | IP69 casing for marine survivability and robustness | Small form factor for met ocean buoys | Wind resource assessment and measurements offshore | Responsible for 95%+ of all new offshore wind measurements globally | 10-300m range - the widest range available of any Lidar | Offshore wind resource assessment | Offshore construction monitoring | Offshore operations & maintenance monitoring | Offshore permanent met Lidar | Offshore helicopter movement planning | Offshore platform design and validation | Wind turbine power performance testing
#John Deere | Deere Reports Net Income of $1.065 Billion for Fourth Quarter, $5.027 Billion for Fiscal Year | $3.93 per share | Outlook for small ag and construction and forestry improves | Worldwide net sales and revenues increased 11%, to $12.394 billion, for the fourth quarter of 2025 | Diverse customer segments and geographies | Continued commitment to delivering customer value | Focusing on operational efficiency | Remaining resilient | Demonstratung the strength of business | Commitment to inventory management and cost control | Expectung growth in small agriculture & turf and construction & forestry | Mowers | Tractors | Utility vehicles | Electric Equipment
#Aurora | Aurora Driver self-driving system designed to operate multiple vehicle types | Driver as a service products for trucking and ride-hailing | Self‑driving stack into trucks from major OEM partners to operate around the clock on freight corridors | Proprietary lidar | Verifiable AI | Initial focus hub‑to‑hub long‑haul freight trucks running between logistics hubs on repeatable highway routes | Partners: Detmar Logistics, Aumovio , FedEx , Hirschbach , NVIDIA , PACCAR , Ryder , Schneider ,Toyota ,Uber ,Uber Freight ,Volvo Trucks ,Volvo Autonomous Solutions, Werner
#BrainChip | Ultra-low power, fully digital, event- based, brain-inspired AI | Low power acceleration co-processor | Enabling very compact, ultra-low power, portable and intelligent devices | Accelerates limited use case-specific neural network models | SDK for rapidly developing and deploying AI applications for Edge | Support for models created with TensorFlow/Keras and Pytorch | Event-based compute platform ideal for early detection, low-latency solutions | Development contract from Air Force Research Laboratory (AFRL) on neuromorphic radar signaling processing technologies | Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips | Improving cognitive communication capabilities on size, weight and power & cost (SWaP-C) constrained platforms such as military, spacecraft and robotics | Embedding sophisticated radar processing solutions in SWaP-C constrained radar platforms | Low-power, high-performance computing in the most mission-critical use cases | Hardware and AI model using Temporal Enabled Neural Network (TENNs) model
#Paralympics | Blind Football (Soccer) | Boccia | Goalball | Para Archery | Para Athletics | Para Badminton | Para Canoe | Para Climbing | Para Cycling Road | Para Cycling Track | Para Equestrian | Para Judo | Para Powerlifting | Para Rowing | Para Swimming | Para Table Tennis | Para Taekwondo | Para Triathlon | Shooting Para Sport | Sitting Volleyball | Wheelchair Basketball | Wheelchair Fencing | Wheelchair Rugby | Wheelchair Tennis