Future Wei Technologies, Inc.

Huawei Technologies Co., Limited

Luis Bill

Fatih Porikli

Wei Huang

Qijie Xu

Huang Wei

Hai Yu

Yuzhu Wu

Lei Yang

Chengcheng Jia

The disclosure relates to technology for determining vehicle environment interaction metrics and/or passenger behavioral metrics for autonomous vehicles in a driving environment. A group of one or more autonomous vehicles independently determine a VEI score for a target vehicle within a predefined vicinity of the group of one or more vehicles. A target vehicle may determine a VPB score based on passengers within the target vehicle. VEI scores and/or VPB scores determined for a target vehicle may be used by the target vehicle to reinforce and/or correct driving actions of the target vehicle.

System and method for improving interaction of a plurality of autonomous vehicles with a driving environment including said vehicles

An activity recognition device comprises a port configured to receive a video stream from a video source for a first object and a second object; a memory configured to store instructions and image frames of the video stream; and one or more processors, wherein the one or more processors execute the instructions stored in the memory, the one or more processors configured to: select portions of the image frames based on presence of the first object; determine areas within the portions of image frames, wherein locations of the first object in the video frames are bounded by the determined areas; determine motion of the first object and locations of a second object within the areas of the image frames; and identify an activity according to the determined motion and locations of the second object, and generate an alert according to the identified activity.

Activity recognition method using videotubes

A system for determining distress of a driver of a vehicle is provided, comprising a plurality of sensors, including interior vehicle image sensors, an interior vehicle audio sensor, vehicle data sensors, and Global Positioning System (GPS) data sensors. The system also includes one or more processors configured to receive inputs from the plurality of sensors, and process the received inputs to obtain a driver heat change estimate, a driver expression estimate, a driver gesture estimate, an on-board diagnostics (OBD) estimate, and a GPS estimate. The one or more processors are further configured to store the estimates in a memory, use the stored estimates to generate deviation scores for each of the estimates, execute a machine learning algorithm to classify driver behavior as normal or impaired based on the deviation scores, and generate a warning based on the classification indicating impaired driver behavior.

Method for distress and road rage detection

Growing community of inventors

Daly City, CA, United States of America

Luis Bill