Gm Global Technolgoy Operations, Inc.

Jonathan Wilson

Chunhao J Lee

Fan Bai

Donald K Grimm

Yue-Yun Wang

Dongxu Li

Bo Yu

Chen-fang Chang

Ashok Yendluri

Quan Zhang

Brandon D Mazzara

A trip energy estimation system includes a memory and a control module. The memory stores average traffic speed, average traffic acceleration, driver speed, and driver acceleration data. The control module executes an algorithm to estimate an amount of energy for an electric vehicle to travel between two locations. The algorithm includes: determining, based on the average traffic speed data and the average traffic acceleration data, a baseline amount of energy for the electric vehicle to travel between the two locations; determining, based on the driver speed data and the driver acceleration data, a dynamic amount of energy corresponding to at least one of stop and go events, over speeding, or under speeding; and determining a total amount of energy based on the baseline amount of energy and the dynamic amount of energy. The control module, based on the total amount of energy, performs an operation including indicating a trip estimate.

Electric vehicle trip energy prediction based on baseline and dynamic driver models

A system and method for locating a traffic light at a host vehicle. A probe vehicle obtains image data on an intersection that includes the traffic light when the probe vehicle is at the intersection and identifies the traffic light in the intersection from the data. A remote processor creates an observed node in a digital map corresponding to the traffic light and updates a mapped position of a mapped node within the digital map based on an observed position of the observed node. The host vehicle uses the mapped node of the digital map to locate the traffic light when the host vehicle is at the intersection.

Method and apparatus for traffic light positioning and mapping using crowd-sensed data

Growing community of inventors

Rochester Hills, MI, United States of America

Jonathan Wilson