Gm Global Technolgoy Operations, Inc.

Rakesh Kumar

Brent Navin Roger Bacchus

Brent N Bacchus

Bo Yu

Curtis L Hay

Mohammadali Shahriari

Hassan Askari

Keun Jae Kim

Vaibhav J Lawand

Jayant Bansal

Ricky Lin

An automobile vehicle visual wireless-based positioning system, incudes an automobile vehicle having a radio receiver. A map contains candidate locations of access-points (APs) and access-point corresponding media-access-control (MAC) IDs. A wireless range sensor determines different ranges of various detected APs visible to the automobile vehicle. An image collection feature identifies image data visible to the automobile vehicle. A real-time feature matching element matching features identified by image collection feature with data from the map. A filter receives an output from the real-time feature matching element to generate an automobile vehicle pose.

Visual wireless based positioning exploiting multipath for outdoor positioning

A system of a motor vehicle includes a radar unit for generating a radar signal associated with a target positioned about the vehicle. The system further includes a tracker generating a tracker signal associated with a radar heading and a doppler based on the radar signal. The system further includes a wheel speed sensor for generating a wheel speed signal associated with a velocity of the vehicle. The system further includes a gyroscope for generating a gyro signal associated with a measured yaw rate. The system further includes a computer having a processor and a computer readable medium. The processor is programmed to determine a gyro drift and a corrected yaw rate while the vehicle is in motion, with the gyro drift and the corrected yaw rate being based on at least the radar heading, the doppler effect, and the velocity of the vehicle, and the measured yaw rate.

System and process for correcting gyroscope drift for a motor vehicle

Systems and methods of alerting an occupant of a vehicle to an obstacle to a side of the vehicle. The systems and methods include receiving turn indicating data from at least one vehicle system, receiving perception data from a perception system of the vehicle, predicting a vehicle turn based on the turn predicting data, generating an obstacle alert, which is output through an output device of the vehicle, when an obstacle is detected within a first sized detection zone or a second sized detection zone using the perception data, and switching from using the first sized detection zone to using the second sized detection zone for generating the obstacle alert in response to predicting the vehicle turn. The second sized detection zone is extended as compared to the first sized detection zone.

Systems and methods for generating vehicle alerts

A computer-implemented method for detecting one or more three-dimensional structures in a proximity of a vehicle at runtime includes generating, by a processor, a birds-eye-view (BEV) camera image of the proximity of the vehicle, the BEV camera image comprising two-dimensional coordinates of one or more structures in the proximity. The method further includes generating, by the processor, a BEV height image of the proximity of the vehicle, the BEV height image providing height of the one or more structures in the proximity. The method further includes detecting one or more edges of the three-dimensional structures based on the BEV camera image and the BEV height image. The method further includes generating models of the three-dimensional structures by plane-fitting based on the edges of the one or more three-dimensional structures. The method further includes reconfiguring a navigation system receiver based on the models of the three-dimensional structures.

Detecting three-dimensional structure models at runtime in vehicles

Methods and systems are provided for navigating a mobile platform in an environment. A processor obtains information about an object in the environment, obtains information about a first satellite, and estimates a probability indicator for a non-line of sight signal transmission between a current satellite location of the first satellite and a current location of the mobile platform using the information about the first satellite and the information about the object. The processor further determines a discrepancy indicator using a movement information of the mobile platform and a movement information of the first satellite such that a weighting indicator can be determined using the estimated probability indicator and the determined discrepancy indicator. The processor then assigns a weighting indicator to a satellite signal transmitted from the first satellite in order to provide a first weighted signal for navigating the mobile platform.

Method and system for satellite performance for navigating a mobile platform in an environment using onboard perception

The present application relates to a method and apparatus including a sensor to detect a current location, a memory for storing a first set of Kalman filter parameters associated with a first environmental condition and a second set of Kalman filter parameters associated with a second environmental condition, a processor for performing an assisted driving algorithm according to the first set of Kalman filter parameters, for receiving the current location, for determining a second set of Kalman filter parameters in response to the current location, for performing the assisted driving algorithm according to the second set of Kalman filter parameters, and for generating a control signal in response to the assisted driving algorithm according to the second set of Kalman filter parameters, and a vehicle controller operative to control a vehicle in response to the control signal.

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Markham, Canada

Rakesh Kumar