The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 30, 2026
Filed:
Sep. 01, 2023
Nvidia Corporation, Santa Clara, CA (US);
Ruiqi Zhao, Shanghai, CN;
Jonathan Edward Barker, Boulder, CO (US);
Tommi Koivisto, Espoo, FI;
Yu Zhang, Sunnyvale, CA (US);
Shuang Wu, Fremont, CA (US);
Yixuan Lin, San Jose, CA (US);
Ge Cong, Pleasanton, CA (US);
Andrew Tao, Los Altos, CA (US);
Kezhao Chen, Beijing, CN;
NVIDIA Corporation, Santa Clara, CA (US);
Abstract
In various examples, multimodal image data may be used to generate a set of top-down tile images, which are applied to a deep neural network generator architecture model to produce lane marking-specific heatmap images corresponding to the set of top-down tile images. The multimodal sensor data may include LIDAR-captured intensity channel data, LIDAR-captured feature height channel data, and optical color image channel data. The set of top-down tile images may be processed by the generator model to automatically detect lane boundaries and navigation boundaries to generate pixel-level heatmap images that may classify lane markings by marking characteristics such as line type and/or color. The generator model may comprise an encoder-decoder architecture, with multiscale feature extraction and/or context extraction functional layers intervening between the encoder model and the decoder model.