Multi-Sensor Systems
Multi-sensor systems integrate data from multiple sensors (e.g., cameras, LiDAR, radar, IMUs) to enhance perception, accuracy, and robustness in applications like autonomous vehicles, robotics, and IoT. They combine heterogeneous sensor inputs using fusion algorithms to create a more comprehensive and reliable understanding of the environment. This approach addresses limitations of single-sensor setups, such as noise, occlusions, or environmental constraints.
Developers should learn multi-sensor systems for building advanced applications in fields like autonomous driving, where combining camera vision with LiDAR depth data improves object detection and safety. It's essential in robotics for navigation and manipulation tasks, and in smart cities for environmental monitoring, as it reduces uncertainty and increases system resilience. Use cases include sensor fusion in drones, industrial automation, and healthcare devices for precise measurements.