LiDAR hardware and point-cloud processing for autonomous systems
北京北科天绘科技 builds LiDAR sensors and point-cloud software on a hardware stack anchored in Xilinx FPGA (Zynq/Zynq UltraScale+) paired with C/C++, Python, and OpenCV. The engineering-heavy org (9 of 13 headcount) is laser-focused on LiDAR product maturation—nine of ten active projects center on sensor data pipelines, point-cloud algorithms, and manufacturing scale. Pain points reveal classical hardware-to-production friction: process efficiency, cost control, and on-time delivery.
北京北科天绘科技 is a 7-person hardware and software company based in Beijing specializing in LiDAR sensors and point-cloud data processing. The product combines FPGA-based sensor design (Xilinx Zynq platform, ARM processors, Ethernet/USB interfaces) with embedded software (C/C++, Python, MATLAB) and post-processing workflows (OpenCV, CloudCompare). The team operates under quality frameworks (ISO 16949, FMEA, SPC) typical of automotive sensor suppliers. Current focus spans LiDAR algorithm research, dataset collection, manufacturing pilot production, and competitive product analysis.
Xilinx Zynq and Zynq UltraScale+ FPGA platforms, ARM processors, Ethernet and USB interfaces, C/C++, Python, OpenCV, and MATLAB for signal processing and point-cloud filtering.
LiDAR product development: point-cloud filtering and preprocessing, frontier algorithm research, dataset collection, manufacturing pilot production, and process optimization for on-time delivery.
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