David W Clifford

US Patent:

20220406072, Dec 22, 2022

Filed:

Aug 26, 2022

Appl. No.:

17/822571

Inventors:

- Detroit MI, US
David H. Clifford - Royal Oak MI, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06V 20/58
B60R 1/00
H04W 4/029
H04W 4/02
H04W 4/38

Abstract:

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting directional audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

US Patent:

20220406073, Dec 22, 2022

Filed:

Aug 26, 2022

Appl. No.:

17/822578

Inventors:

- Detroit MI, US
David H Clifford - Royal Oak MI, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06V 20/58
B60R 1/00
H04W 4/029
H04W 4/02
H04W 4/38

Abstract:

An obstacle detection and notification system for a motorcycle. The system includes a forward looking thermal camera and a backward looking thermal camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

US Patent:

20220406074, Dec 22, 2022

Filed:

Aug 26, 2022

Appl. No.:

17/822585

Inventors:

- Detroit MI, US
David H. Clifford - Royal Oak MI, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06V 20/58
B60R 1/00
H04W 4/029
H04W 4/02
H04W 4/38

Abstract:

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

US Patent:

20220406075, Dec 22, 2022

Filed:

Aug 26, 2022

Appl. No.:

17/822593

Inventors:

- Detroit MI, US
David H Clifford - Royal Oak MI, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06V 20/58
B60R 1/00
H04W 4/029
H04W 4/02
H04W 4/38

Abstract:

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, determining an approaching vehicle threat based on the detected object data, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle indicating the approaching vehicle threat.

US Patent:

20220309911, Sep 29, 2022

Filed:

Sep 2, 2021

Appl. No.:

17/465480

Inventors:

- Brooklyn NY, US
David Hahn Clifford - Royal Oak MI, US

International Classification:

G08G 1/017
G08G 1/01

Abstract:

Systems and techniques are described for identifying, monitoring, and sharing vehicle information amongst sensors. In some implementations, a system includes a central server and a plurality of sensors. The plurality of sensors are positioned in a fixed location relative to a roadway. Each sensor in the plurality of sensors is configured to: detect vehicles in a first field of view on the roadway. For each detected vehicle, each sensor is configured to identify features of the detected vehicle and perform operations for each feature. The operations include generating feature data representing the feature, generating a unique identification of the detected vehicle from the detected vehicles by concatenating the feature data representing the identified features of the detected vehicle, and adding the unique identification to a list.

US Patent:

20220250652, Aug 11, 2022

Filed:

Feb 11, 2021

Appl. No.:

17/174100

Inventors:

- Detroit MI, US
David H. Clifford - Royal Oak MI, US
Mason D. Gemar - Cedar Park TX, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

B60W 60/00
G06K 9/46
G06K 9/20
G06K 9/00
G09G 5/37
B60W 30/06
B60W 50/00

Abstract:

A system and method are provided for controlling a vehicle. In one embodiment, a system includes: a sensor system configured to generate sensor data sensed from an environment of the vehicle; and a control module configured to, by a processor, predict parked vehicles within the scene of the environment, identify an outer edge associated with the parked vehicles, generate a virtual lane line based on the outer edge associated with the parked vehicles, and generate signal data based on the virtual lane line to at least one of display the virtual lane line within the scene and control the vehicle.

US Patent:

20220245386, Aug 4, 2022

Filed:

Jan 29, 2021

Appl. No.:

17/162548

Inventors:

- Detroit MI, US
Orhan BULAN - Novi MI, US
David H. CLIFFORD - Royal Oak MI, US
Mason D. GEMAR - Cedar Park TX, US

International Classification:

G06K 9/00
G06K 9/62
G06N 3/08

Abstract:

A system comprises a processor and a memory storing instructions. The processor receives an image for processing using a reinforcement learning based agent comprising a neural network trained using a reward function. The image includes N lane lines of a roadway, where N is a positive integer. The instructions configure the processor to traverse the image using the agent at least N times from a first end of the image to a second end of the image by: incrementally moving the agent from a first side of the image to a second side of the image after each traversal; and maximizing rewards for the agent using the reward function during each traversal of the image using the agent. The instructions configure the processor to identify the N lane lines of the roadway as a single cluster of lane lines after traversing the image using the agent at least N times.

US Patent:

20220222475, Jul 14, 2022

Filed:

Jan 13, 2021

Appl. No.:

17/148398

Inventors:

- Detroit MI, US
David H. Clifford - Royal Oak MI, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06K 9/00
B60R 1/00
H04W 4/029
H04W 4/38
H04W 4/02

Abstract:

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.