19005734. REGRESSION-BASED LINE DETECTION FOR AUTONOMOUS DRIVING MACHINES (NVIDIA Corporation)
REGRESSION-BASED LINE DETECTION FOR AUTONOMOUS DRIVING MACHINES
Organization Name
Inventor(s)
Xiaolin Lin of Sunnyvale CA US
Hae-Jong Seo of San Jose CA US
David Nister of Bellevue WA US
Neda Cvijetic of East Palo Alto CA US
REGRESSION-BASED LINE DETECTION FOR AUTONOMOUS DRIVING MACHINES
This abstract first appeared for US patent application 19005734 titled 'REGRESSION-BASED LINE DETECTION FOR AUTONOMOUS DRIVING MACHINES
Original Abstract Submitted
In various examples, systems and methods are disclosed that preserve rich spatial information from an input resolution of a machine learning model to regress on lines in an input image. The machine learning model may be trained to predict, in deployment, distances for each pixel of the input image at an input resolution to a line pixel determined to correspond to a line in the input image. The machine learning model may further be trained to predict angles and label classes of the line. An embedding algorithm may be used to train the machine learning model to predict clusters of line pixels that each correspond to a respective line in the input image. In deployment, the predictions of the machine learning model may be used as an aid for understanding the surrounding environmentâe.g., for updating a world modelâin a variety of autonomous machine applications.
- NVIDIA Corporation
- Minwoo Park of Saratoga WA US
- Xiaolin Lin of Sunnyvale CA US
- Hae-Jong Seo of San Jose CA US
- David Nister of Bellevue WA US
- Neda Cvijetic of East Palo Alto CA US
- G05D1/00
- G05D1/228
- G06F18/214
- G06F18/23
- G06F18/2411
- G06N3/04
- G06V10/44
- G06V10/48
- G06V10/75
- G06V10/764
- G06V10/776
- G06V10/82
- G06V10/94
- G06V20/56
- CPC G05D1/0077