- Solid-state, 50m range, wide field-of-view (120°x 30°) LIDAR sensor
- Generates high-resolution 3D point cloud and intensity maps 25 times/sec
Allentown, PA, October 28, 2019. Continental, a leading global supplier of systems and components for automobile and truck manufacturers, has developed and is shipping samples of its new and advanced automotive grade solid-state LIDAR to the Commercial Vehicle Market. The HFL110 3D Flash LIDAR™ enhances Continental’s existing ADAS sensor suite or radar and 2D color sensors for automated driving. The ability to create a precision 3D profile of a vehicle’s surroundings is a fundamental prerequisite for automated and safe driving. The HFL110 sensor deliversdetailed and accurate 3-dimensional profile in 330 nanoseconds per frame, regardless of time-of-day or weather conditions.
The new 3D Flash LIDAR HFL110 sensor has been developed for use at close range (50m or less). Immune to vibration or speed distortion, the sensor generates a high-resolution 3D point cloud 25 times per second within its 120° field of view. Whether in dense urban or highway environments, the HFL110’s multiple precise distance measurements capture 4,096 contiguous pixels of depth data in real-time across the field of view, enabling and assisting with challenging maneuvers, safely.
The contiguous HFL110 pixels tolerate nearby high or low reflectivity surfaces, producing a point cloud and/or an object list to define and track the vehicle’s surroundings and moving objects within it. Enhanced by an integrated heater and an optional automatic washer system, it can be combined with Continental’s radars and 2D cameras for a power sensor suite to assure a high degree of reliability in a wide range of weather conditions.
Addressing application areas in automotive, commercial vehicles, agriculture, construction, mining, UAV delivery, Precision Infrastructure Inspection and more, the HFL110 short range sensor is available for sampling. Continental’s High-Resolution 3D Flash LIDAR™ (HFL) with 3D Global Shutter™ enables the Future of Machine Vision.