Hayden Ai Technologies, Inc.

Hayden Al Technologies, Inc.

Shaocheng Wang

Vaibhav Ghadiok

Morgan Kohler

Wiktor Muron

Michael Gleeson-May

Marcin Grzesiak

Maciej Budys

Andrei Liaukovich

Tianxue Chen

Jerel Nielsen

Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.

System and methods for automatically validating evidence of traffic violations using automatically detected context features

Disclosed herein are methods and devices for determining a pose and motion of a carrier vehicle. In one aspect, a method comprises capturing video(s) of an external environment surrounding the carrier vehicle using a camera of an edge device coupled to the carrier vehicle; determining a full vehicle pose of the carrier vehicle with respect to a keyframe of the video(s) based on visual odometry measurements made using the keyframe and a subsequent video frame captured after the keyframe; determining a vehicle position and motion of the carrier vehicle based on positioning data obtained from a positioning unit of the edge device; and providing the full vehicle pose with respect to the keyframe obtained from the visual odometry measurements and the vehicle position and motion determined from the positioning data to a filter running on the edge device to obtain a fused vehicle pose and motion of the carrier vehicle.

Systems and methods for determining a pose and motion of a carrier vehicle

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Mountain View, CA, United States of America

Shaocheng Wang