Autonomous driving and robotics hardware with AI perception stack
南京北路智控 develops autonomous vehicle and mobile robot systems, with a tech foundation spanning ROS, TensorFlow/PyTorch, and classical robotics tools (CANoe, CATIA). The stack—heavy on AI inference (TensorRT, TensorFlow Serving) and real-time control (ROS, C++)—reflects a hardware-software integration business. Active projects span map creation, localization algorithms, and vehicle safety certification; pain points cluster around hardware integration, performance constraints, and regulatory compliance, suggesting the company is scaling from research into production validation.
南京北路智控 is a hardware and robotics company based in Nanjing, China, operating at the intersection of autonomous driving and mobile robotics. The product portfolio includes autonomous vehicle platforms and mobile robots with onboard AI perception. Engineering and sales headcount are balanced (51 each), indicating both R&D depth and direct customer engagement. Projects currently underway span high-precision mapping, localization algorithms, system architecture, and vehicle certification—activities typical of companies moving from prototype toward certified production. The company operates exclusively in China.
Core stack: ROS, C/C++, Python, TensorFlow, PyTorch, OpenCV, TensorRT. Robotics/automotive tools: CANoe, CATIA. Infrastructure: Docker, Kubernetes, Linux. Databases: MySQL, Oracle, SQL Server. Monitoring: Nagios, Zabbix. Adopting Jenkins for CI/CD.
Projects include high-precision map creation for autonomous driving, mobile robot localization algorithms, path planning, system architecture design, vehicle safety certification, and map construction research. Also active in sales toolkit development and market research for chemical products.
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