Banner image showcasing real world object detection with bounding box using Lidar sensor and PathPartner point cloud processing algorithm

Lidar - PathPartnerTech

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.

Comprehensive offerings to Accelerate LiDAR System Development

Algorithm consulting

Identify right algorithms for your use-case and constraints

Algorithm development

Custom algorithm development and optimization

Developing use cases

Use-case specific application development

Fusion ready

Multi-sensor (Radar, Lidar, Camera) system development

PathPartner LiDAR SDK: Delivering precise Autonomy

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 LiDAR algorithm for point cloud processing used for object detection algorithm

Ready to build your next-gen LiDAR based autonomous system? Work with us!

Ready-to-use SDK

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.

Process expertise
  • Member of leading industry alliances such as embedded vision alliance
  • ISO 26262 compliant processes

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