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

#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 | BlueCity | Powering Lidar-Enabled Smart Traffic Solution | Traffic management solution in Chattanooga, Tennessee | Improvung roadway safety | Reducing congestion.| BlueCity solution to over 120 intersections | Combining digital lidar sensors and edge AI at each intersection | Managing traffic flow | Detecting and analyzing safety incidents | Providing detection for vehicle-to-everything (V2X) communications | Advanced perception software from Ouster | Lidar-powered smart traffic network | Optimizing traffic signal management on roads and intersections | Providing data to improve pedestrian safety | Intelligent signal actuation at intersections | Generating analytics data stream to traffic operators | Creating real-time 3D digital traffic twin of an intersection or road | Automating data collection in the cloud | Monitoring road events more accurately for vehicles, pedestrians and cyclists | Quick safety interventions | Long-term planning optimizations | Deep learning AI perception | Object classification | Object detection | Traffic actuation | Near-miss detection | Outside of crosswalk events | Red light running | Wrong-way driving | Southern Lighting & Traffic Systems | Center for Urban Informatics & Progress (CUIP) | University of Tennessee Chattanooga Research Institute (UTCRI) | Certified lidar traffic solution with Buy America(n) lidar

#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