Gm Cruise Holdings LLC

Jabeer Ahmed

Adam Samuel Cadien

Zhonghua Ma

Nicholas Semansky

Juan Fasola

Shreyans Kushwaha

Chia-Wei Lin

Sensor data obtained from vehicles driving through a particular environment (e.g., a particular city or region being mapped) is used to identify and label traffic control features. Location, speed, and/or acceleration of mapping vehicles can be used to identify intersections that may have traffic control features. Environmental data, such as image data captured by one or more cameras, and point cloud data collected by lidar and/or radar sensors, is used to automatically detect traffic control features at the intersections.

Automated labeling of traffic control features

Sensors coupled to a vehicle are calibrated, optionally using a dynamic scene with sensor targets around a motorized turntable that rotates the vehicle to different orientations. One vehicle sensor captures a representation of one feature of a sensor target, while another vehicle sensor captures a representation of a different feature of the sensor target, the two features of the sensor target having known relative positioning on the target. The vehicle generates a transformation that maps the captured representations of the two features to positions around the vehicle based on the known relative positioning of the two features on the target.

Extrinsic calibration of multiple vehicle sensors using combined target detectable by multiple vehicle sensors

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San Francisco, CA, United States of America

Jabeer Ahmed