Practical guide to building software for autonomous systems: outlines the perception-processing-action stack; challenges in real-time performance, safety/security, and interoperability; best practices (modular architecture, RTOS, sensor fusion, ML frameworks, continuous testing); key tools (C++, Python, ROS, OpenCV, cloud); and an ethics-aware future of human-machine collaboration.
