Nvidia Corporation

Ozan Tonkal

Minwoo Park

John R Zedlewski

Pekka Janis

Zuoguan Wang

Gordon Grigor

Miguel Sainz

Davide Onofrio

Chia-Chih Chen

Carolina Parada

Yifang Xu

Vijay Chintalapudi

Mehdi Sajjadi Mohammadabadi

Jan Nikolaus Fritsch

Xin Liu

I-Kuei Chen

In various examples, sensor data representative of an image of a field of view of a vehicle sensor may be received and the sensor data may be applied to a machine learning model. The machine learning model may compute a segmentation mask representative of portions of the image corresponding to lane markings of the driving surface of the vehicle. Analysis of the segmentation mask may be performed to determine lane marking types, and lane boundaries may be generated by performing curve fitting on the lane markings corresponding to each of the lane marking types. The data representative of the lane boundaries may then be sent to a component of the vehicle for use in navigating the vehicle through the driving surface.

Real-time detection of lanes and boundaries by autonomous vehicles

Growing community of inventors

Munich, Germany

Ozan Tonkal