长沙智能驾驶研究院builds autonomous perception and driver-assistance systems targeting fleet operators and commercial vehicle manufacturers in China. The tech stack—MATLAB, C++, NVIDIA Jetson, CAN/GPIO/I2C protocols, and real-time video streaming (RTMP/RTSP/FFmpeg)—reflects embedded systems and sensor-fusion work typical of autonomous vehicle development. A balanced hiring mix of engineering and sales roles, combined with projects spanning perception systems, fleet risk assessment, and insurance pre-sales, suggests the company is transitioning from pure R&D toward commercialization and customer delivery.
长沙智能驾驶研究院develops autonomous perception and risk-reduction technologies for commercial vehicle fleets in China. The company operates out of Changsha, Hunan, with a small, specialized team focused on both product engineering and direct sales. Core work includes autonomous perception system development, fleet risk assessment platforms, and integration support for commercial vehicle manufacturers and logistics operators. Current priorities center on on-time delivery, cost control on custom deployments, and expanding overseas sales channels.
Primary languages: C++, Python, MATLAB. Embedded/hardware: NVIDIA Jetson, CAN, GPIO, I2C, USB. Real-time video: FFmpeg, GStreamer, RTMP, RTSP. Build/debug: CMake, gdb, Bash. Networking: TCP/IP, Ethernet, 4G. Operating environment: Linux.
Focus areas: autonomous perception systems for commercial vehicles, fleet risk assessment platforms, risk reduction tracking, commercial vehicle tech + insurance pre-sales support, customized solution delivery, and overseas sales expansion.