navigationsdata

Navigationsdata refers to the set of information used to determine a system's position, orientation, and trajectory, and to support route planning and maneuvering. It encompasses dynamic data such as coordinates, velocity, heading, and timing, as well as static elements like maps and route plans. The term is used across transportation and mobility contexts, including maritime, aviation, automotive, and handheld devices.

Core components include positioning data from global navigation satellite systems (GNSS), inertial data from accelerometers and gyroscopes, wheel odometry, barometric altitude, and heading and speed measurements. It also includes digital map databases, route instructions, traffic information, and environmental data such as weather that can influence navigation decisions.

Data sources range from satellite signals and onboard sensors to external services such as online maps, traffic feeds, and weather providers. Processing combines these signals to estimate current pose and predict short-term motion, typically using data fusion techniques like Kalman filtering, along with map matching and route optimization.

Applications span autopilot and guidance systems in ships and aircraft, automotive navigation and driver-assistance systems, drones, and consumer navigation apps.

Quality and risk considerations include accuracy, latency, availability, and data integrity. GNSS can be degraded by obstacles or intentional interference, inertial sensors drift over time, and map or traffic data can become outdated. Privacy and security concerns arise from telemetry and location data collection, necessitating appropriate protections and governance.