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Stixel estimation and road scene segmentation using deep learning

A deep learning and road technology, applied in scene recognition, calculation, computer parts and other directions, can solve the problem of increasing the overall cost

Inactive Publication Date: 2016-11-09
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Implementing multiple cameras in a vehicle or any system adds to the overall cost

Method used

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  • Stixel estimation and road scene segmentation using deep learning
  • Stixel estimation and road scene segmentation using deep learning
  • Stixel estimation and road scene segmentation using deep learning

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Embodiment Construction

[0012] The following detailed description is merely exemplary in nature and not intended to limit application and use. Furthermore, there is no intention to be bound by any expressed or implied theory presented in the preceding technical field, background, brief summary or the following detailed description. It should be understood that throughout the drawings, corresponding reference numerals indicate like or corresponding parts and features. The term module is used herein to refer to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (shared, dedicated or group processor) and memory that executes one or more software or firmware programs, combinational logic circuits and / or provides the described functionality other suitable components.

[0013] now refer to figure 1 , a vehicle 10 is shown including an object detection system 12 according to various embodiments. It will be appreciated that the object detection system 12 shown and descri...

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Abstract

Methods and systems are provided for detecting an object in an image. In one embodiment, a method includes: receiving, by a processor, data from a single sensor, the data representing an image; dividing, by the processor, the image into vertical sub-images; processing, by the processor, the vertical sub-images based on deep learning models; and detecting, by the processor, an object based on the processing.

Description

technical field [0001] The present invention generally relates to an object detection system and method, and in particular to an object detection system and method for detecting objects based on deep learning. Background technique [0002] Various systems process data to detect objects in the system's vicinity. For example, some vehicle systems detect objects near the vehicle and use the information about the objects to alert the driver of the object and / or to control the vehicle. Vehicle systems detect objects based on sensors placed around the vehicle. For example, multiple cameras are positioned at the rear, sides and / or front of the vehicle to detect objects. Images from multiple cameras are used to detect objects based on stereo vision. Implementing multiple cameras in a vehicle or any system adds to the overall cost. [0003] Accordingly, it is desirable to provide methods and systems for detecting objects in images based on a single camera. Furthermore, other des...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06V10/50G06V10/764
CPCG06V20/588G06V10/267G06V20/58G06V10/50G06V10/82G06V10/764G06N3/045G06F18/2413
Inventor D·李维N·加尼特
Owner GM GLOBAL TECH OPERATIONS LLC