The new Eos Robust Depth Perception Software resolves the range, resolution, cost, and robustness limitations of the latest lidar, radar, and camera based systems combined with a scalable and modular software perception suite.
Read MoreFounded by computer vision veterans, Tangram Vision's mission is to make sensors simpler for robotics, drones, autonomous vehicles and factory automation. The Tangram Vision SDK includes tools for rapid sensor integration, multi-sensor calibration and remote diagnostics, saving robotics engineers months of engineering time.
Read MoretinyLiDAR SafeDistance is a New High-Tech Personal Tool that uses LiDAR to Maintain Proper Physical Distancing and Help Stop the Spread of COVID-19
Read MoreNew report from IDTechEx Research forecasts the global market for lidar in autonomous vehicles growing to $5.4 billion by 2030. Analysis of 100+ 3D lidar companies; automotive focus. Mechanical, MEMS, OPA, flash, liquid crystal and other solid-state lidar for ADAS, autonomous vehicles, industrial, smart cities, security and mapping.
Read MoreAerostar's recently announced obstacle detection platform now boasts an improved pedestrian detection range approaching 17 meters, works flawlessly in inclement weather conditions and meets NCAP standards.
Read MoreAerostar Industry Co. announced today successful TRL6 testing of its ground-breaking LIDAR and camera fusion ADAS. Aerostar plans to quickly move the system into TRL9 testing and have full integration into end user's cars by 2014.
Read MoreAerostar Industry Co. today announced that its proprietary and cost-effective LIDAR and video fusion ADAS should play a major role in providing nearly autonomous driving in the not-too-distant future.
Read MoreInternational renewable energy consultancy, SgurrEnergy, part of Wood Group, has concluded a one year wind measurement campaign, conducted on the first Offshore Risk Quantification Analysis (ORQA) platform, located near Lamma Island, Hong Kong.
Read MoreSgurrEnergy's 2nd generation wind Lidar, the Galion, has produced the first image of multiple offshore wind turbine wakes ever captured by a scanning Lidar device. The unique image was revealed by the wind Lidar research group at the Stuttgart Win
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