Terranet and Mercedes-Benz Presents Quick Reacting Event-Based Camera System

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Terranet and Mercedes-Benz Presents Quick Reacting Event-Based Camera System

GlobeNewswireTerranet AB presents its ultra-fast VoxelFlow sensor technology in a joint presentation with Mercedes-Benz at STARTUP AUTOBAHN. VoxelFlow uses high-speed sensor technology so that autonomous driving (AD) and ADAS can quickly and accurately understand and decipher what's in front of them, enhancing existing radar, lidar, and camera systems that particularly struggle within 30 to 40 meters, when an accident is most likely to take place. 

VoxelFlow consists of three event cameras and a continuous laser scanner, whose simultaneous observations use triangulation to generate a 3D image within a matter of nanoseconds. The system is able to detect, track and trace that 3D image, in addition to specifying velocity, speed, direction and position. Unmatched in its field, VoxelFlow will generate the best way to perceive the motion of 3D objects in space, creating a new way of seeing within the automotive industry. The system cuts the reaction distance from six meters to twelve centimeters and will be 50 times faster than other existing technology. By significantly cutting down response time and generating an authentic view of the world around the vehicle, VoxelFlow will help ensure the safety of all those on the roadways.

At 250,000 voxels per second, VoxelFlow is already matching competitors in point density. Where current camera/laser technology is subject to delays in latency or deficiencies in image quality, VoxelFlow creates high-resolution, low latency images, moving beyond pixels to reimagine the world in voxels. Sensor technology designed specifically with AD/ADAS vehicles in mind, VoxelFlow’s low latency caters to object detection within 30-40 meters, it shortens the braking distance for the vehicle. Further, the hybrid event-based camera and laser approach, allows VoxelFlow to work across all forms of weather and during every time of day.


Terranet publishes a video about its event-based camera scanner technology:



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