ARCHITECTURE FOR MAP CHANGE DETECTION IN AUTONOMOUS VEHICLES

Methods by which an autonomous vehicle or related system may determine when a high definition (HD) map is out of date are disclosed. As the vehicle moves in an area, it captures sensor data representing perceived features of the area. A processor will input the sensor data along with HD map data for...

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Bibliographische Detailangaben
Hauptverfasser:	KWANT, Richard, HAYS, James, FERRONI, Francesco, LAMBERT, John
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE CALCULATING CHECKING-DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING GENERATING RANDOM NUMBERS GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS REGISTERING OR INDICATING THE WORKING OF MACHINES SURVEYING TESTING TIME OR ATTENDANCE REGISTERS VOTING OR LOTTERY APPARATUS
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Beschreibung
Zusammenfassung:	Methods by which an autonomous vehicle or related system may determine when a high definition (HD) map is out of date are disclosed. As the vehicle moves in an area, it captures sensor data representing perceived features of the area. A processor will input the sensor data along with HD map data for the area into a neural network to generate an embedding that identifies differences between features in the map data and corresponding features in the sensor data. The system may convert the sensor data into a birds-eye view or ego view before doing this. The network will identify any differences that exceed a threshold. The network will report the features for which the differences that exceed the threshold as features of the HD map that require updating.