Outsight has launched its new 3D Semantic Camera, which has been developed to provide full situation awareness to smart machines such as AVs. The camera combines software and hardware to create sensor innovations such as remote material identification with comprehensive real-time 3D data processing.
“Mobility is evolving rapidly, with new ways to travel being introduced every day. In the USA alone, approximately four million people are seriously injured by car accidents every year. At Outsight, we believe in building safer mobility by making vehicles much smarter. We are excited to unveil our 3D Semantic Camera that brings an unprecedented solution for a vehicle to detect road hazards and prevent accidents,” said Cedric Hutchings, CEO and co-founder of Outsight.
According to Outsight, the technology is the first of its kind to be intended to provide full situation awareness in a single device. The 3D Semantic Camera can provide important information regarding road conditions and can, for example, identify black ice and other hazardous road conditions. This feature is vital for safety in ADAS systems for example. The system can also quickly identify pedestrians and bicyclists through its material identification capabilities.
This is partly made possible through the development of a low-powered, long-range and eye-safe broadband laser that allows for material composition to be identified through active hyperspectral analysis. Combined with its 3D SLAM on Chip(R) capability (Simultaneous Localization and Mapping), Outsight’s technology is able to unveil the full reality of the world in real time.
To learn more about lidar and other sensor technologies for AVs, catch the “Vision – Sensors and Lidar Test and Development” session at the Autonomous Vehicle Test & Development Symposium in Novi, MI in October. For more information, up-to-date programs and rates, click here. The symposium is hosted at Autonomous Vehicle Technology Expo.