Autonomous machines and vehicles with advanced driver assistance systems (ADAS) rely on a variety of sensors for object sensing. LiDAR is one among them which is enabling a clear understanding of the surrounding with its capability of depth perception. PathPartner, with its extensive experience in developing Lidar based systems, accelerates time to market for organizations developing Lidar based autonomous and ADAS systems.
Identify right algorithms for your use-case and constraints
Custom algorithm development and optimization
Use-case specific application development
Multi-sensor (Radar, Lidar, Camera) system development
Simplify your ADAS and AD solution evaluation and development with PathPartner LiDAR SDK. Our LiDAR SDK provides a library of multiple LiDAR point cloud processing filters for each processing phase like point cloud merger, clustering, tracking, feature extraction and more. With readily available algorithms, you don’t need to worry about implementation details and develop your custom solutions quickly.
PathPartner offers complete pipeline of LiDAR algorithms as an SDK. The algorithms are suitable for various LiDAR applications.
Formal partnership with leading sensor manufacturers and automotive chipset vendors such as Texas Instruments, Qualcomm, Synopsys, NXP, Xilinx, Cadence, Omnivision, Renesas etc.
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