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公开(公告)号:US20210303875A1
公开(公告)日:2021-09-30
申请号:US16833759
申请日:2020-03-30
Applicant: Hitachi Automotive Systems, Ltd.
Inventor: Naveen Kumar BANGALORE RAMAIAH , Subrata Kumar KUNDU
Abstract: In some examples, one or more processors may receive at least one image of a road, and may determine at least one candidate group of pixels in the image as potentially corresponding to debris on the road. The one or more processors may determine at least two height-based features for the candidate group of pixels. For instance, the at least two height-based features may include a maximum height associated with the candidate group of pixels relative to a surface of the road, and an average height associated the candidate group of pixels relative to the surface of the road. In addition, the one or more processors may determine at least one weighting factor based on comparing the at least two height-based features to respective thresholds, and may determine whether the group of pixels corresponds to debris based at least on the comparing.
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公开(公告)号:US20200250984A1
公开(公告)日:2020-08-06
申请号:US16265913
申请日:2019-02-01
Applicant: Hitachi Automotive Systems, Ltd.
Inventor: Subrata Kumar KUNDU , Naveen Kumar BANGALORE RAMAIAH
Abstract: Example implementations described herein are directed to depression detection on roadways (e.g., potholes, horizontal panel lines of a roadway, etc.) through using vision sensor to realize improved safety for advanced driver assistance systems (ADAS) and autonomous driving (AD). Example implementations described herein detect candidate depressions in the roadway in real time and adjust the control of the vehicle system according to the detected depressions.
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