Method and device for producing vehicle operational data based on deep learning techniques
First Claim
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1. A method in a vehicle control unit for controlling a vehicle, the method comprising:
- receiving driving map data that is a composition of separate temporal observations within a single composite image including vehicle target data relative to a vehicle location data and obstacle data that characterizes temporal aspects of dynamic obstacles;
processing, using a machine learning model, the driving map data to produce driving controls for traversing a travel route through the location, wherein the machine learning model identifies vehicle operational data correlating with the driving map data to produce the driving controls;
andtransmitting the driving controls to effect control of the vehicle over the travel route.
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Abstract
A method and device for effecting vehicle control is presented. The method includes receiving driving map data, which includes vehicle target data relative to a vehicle location data. The driving map data is processed to produce desired vehicle operational data, the desired vehicle operational data facilitates a vehicle to traverse a travel route. From the desired vehicle operational data vehicle, corresponding actuator control data is produced, and transmitted to effect vehicle control in either of the autonomous or driver-assisted modes.
16 Citations
14 Claims
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1. A method in a vehicle control unit for controlling a vehicle, the method comprising:
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receiving driving map data that is a composition of separate temporal observations within a single composite image including vehicle target data relative to a vehicle location data and obstacle data that characterizes temporal aspects of dynamic obstacles; processing, using a machine learning model, the driving map data to produce driving controls for traversing a travel route through the location, wherein the machine learning model identifies vehicle operational data correlating with the driving map data to produce the driving controls; and transmitting the driving controls to effect control of the vehicle over the travel route. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A vehicle control unit for controlling a vehicle, the vehicle control unit comprising:
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a wireless communication interface to service communication with a vehicle network; a processor coupled to the wireless communication interface, the processor for controlling operations of the vehicle control unit; and a memory coupled to the processor, the memory for storing data and program instructions used by the processor, the processor configured to execute the program instructions stored in the memory to; receive driving map data that is a composition of separate temporal observations within a single composite image including vehicle target data relative to a vehicle location data and obstacle data that characterizes temporal aspects of dynamic obstacles; process the driving map data using a machine learning model to produce driving controls for traversing a travel route, wherein the machine learning model identifies vehicle operational data correlating with the driving map data to produce the driving controls; and transmit, via the wireless communication interface, the driving controls to effect control of the vehicle over the travel route. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification