PFD announces partnership with Silcon Valley based technology company Quanergy as a strategic partner and systems integrator of their new LiDar Sensor including their new solid state LiDar sensors. PFD will be releasing LiDar sensor package based on the M8-1 and S3 Solid state sensors.
“We are very pleased to be partnering with Quanergy to provide a light weight and robust sensor for sUAS and other mobile applications. This is a game changer for the industry, by a very innovative company” Steve Colligan, President, Precision Flight Devices
Quanergy is the leading manufacturer of 3D time-of-flight LiDAR sensors designed from the ground up to meet all four key commercialization criteria:
Cost, Performance, Reliability, and Size.
Quanergy’s innovations, covered by 8 patent applications, address the needs in various markets for 3D LiDAR sensors and LiDAR-based sensing systems. Key markets include passenger vehicles, corporate / commercial / municipal fleets, and digital mapping fleets.
Other markets include logistics / warehouse / distribution center / space management automation, robotics, construction / agriculture / mining vehicles, surveying, archaeology, geology, aeronautics, unmanned aerial vehicles (UAVs), wind turbine preservation and inspection, security, and disaster relief.
Quanergy delivers robust and intelligent real-time 3D mapping solutions that work day and night, rain or shine, while performing object detection, tracking, identification, and classification. In the automotive space, affordable LiDAR sensors enable broad deployment of advanced driver assistance systems (ADAS) and autonomous driving systems – 80% of transportation accidents are avoidable with this technology, and Quanergy is bringing it to the masses.
Quanergy’s LiDAR sensors are eye-safe and feature 360° field of view, a few-hundred-meter range, centimeter accuracy, 30 Hz scanning frequency, 0.1° angular resolution, a high dynamic range under various weather conditions, and an unmatched reliability obtained by eliminating the top 3 root causes of failure in LiDAR