NOVELTY - The method involves receiving sensor data and spatio-temporal synchronization information of multiple sensors mounted on multiple platforms (S105). The sensor data is synchronized (S110). The spatially synchronized data is synchronized (S115) to a map coordinate system. Linkage relationship information is defined (S120) between the synchronized data. Time of clock modules of the sensors is synchronized (S125) based on a reference system. Time frame synchronization of the multiple sensors is performed (S130). Correlation between the collected sensor data is determined (S135). Spatial synchronization of synchronization data is performed (S140) based on the time information and a geometric model of a multi-sensor system.
USE - Method for collecting data of an autonomous vehicle based on multi-platform and multi-sensor convergence. Uses include but or not limited to robots, drones, personal mobility, a mobile office, a mobile hotel or a Personal Air Vehicle (PAV).
ADVANTAGE - The method enables overcoming limitations of system recognition and judgment models on a single platform by synchronizing collected data from multiple sensors and multiple platforms in terms of time, space and attributes and using as integrated data.
DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a method for collecting data of an autonomous vehicle based on multi-platform and multi-sensor convergence(Drawing included non-English language text).
S105Step for receiving sensor data and spatio-temporal synchronization information of multiple sensors mounted on multiple platforms
S110Step for synchronizing the sensor data
S115Step for synchronizing spatially synchronized data to a map coordinate system
S120Step for defining linkage relationship information between the synchronized data
S125Step for synchronizing time of clock modules of the sensors based on a reference system
S130Step for performing time frame synchronization of the multiple sensors
S135Step for determining correlation between the collected sensor data
S140Step for performing spatial synchronization of synchronization data based on the time information and a geometric model of a multi-sensor system