The Leddar Pixell is a 3D flash LiDAR with 180-degree field of view (FoV) specifically designed for ADAS and autonomous driving applications. Powered by the LCA2 LeddarEngineTM, the Leddar Pixell provides reliable detection of pedestrians, cyclists, and other obstacles in the vehicle’s surroundings and is optimized for use in perception platforms that are meant to enhance detection capabilities of vulnerable road users (VRU). The robust, solid-state Pixell compensates for the limitations of mechanical scanning LiDARs used for geopositioning which generate blind areas that can reach several meters. The Pixell enables a comprehensive detection “cocoon” that surrounds the vehicle, enhancing detection coverage.
Using the latest in 3D flash LiDAR technology, the Pixell provides more scene coverage than most scanning LiDARs, which drastically reduces dead zones. Thanks to the Pixell’s wide horizontal FoV, four sensors will cover the entire vehicle surroundings over 360 degrees and provide redundancy coverage in its corners. Data provided by Leddar Pixell allow for object tracking and identification of possible collisions based on object position, velocity, and directionality without overwhelming the vehicle’s CPU with massive amounts of unnecessary data.
Deployments of detection systems on any type of commercial or industrial vehicle require highly durable technologies to ensure high MTBF and to minimize downtime and operational expenditures, all the while ensuring reliable and secure vehicle operation.
Based on a robust, 100% solid-state LiDAR design with no moving parts for superior reliability, the heavy-duty Leddar Pixell LiDAR delivers superior lifespan and MTBF, which makes it ideally suited for ADAS and autonomous vehicle deployments in any operating domain, including public transport, construction, mining, and military.
The Pixell has been designed using the state-of-the-art LCA2 LeddarEngine, the powerful LiDAR core for automotive and mobility applications, leveragingLeddarTech’s patented signal acquisition and processing and highly integrated LiDAR SoC.
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