Nvidia Corporation

Gordon Grigor

Miguel Sainz

Minwoo Park

John R Zedlewski

Pekka Janis

Zuoguan Wang

Davide Onofrio

Chia-Chih Chen

Vijay Chintalapudi

Yifang Xu

Carolina Parada

Mehdi Sajjadi Mohammadabadi

Ozan Tonkal

Jan Nikolaus Fritsch

I-Kuei Chen

Xin Liu

David Nister

Gary D Hicok

Michael Brian Cox

Ratin Kumar

Ruchi Bhargava

Vinayak Jayaram Pore

Soumen Dey

Justin Ebert

Timo Roman

Mohan Tulshiram Nimaje

Tony C Tam

Martin Hempel

Gajanan Bhat

Sameer Anand Gumaste

Sarvesh Satavalekar

Parthasarathy Sriram

Phillip Smith

Shu-Jen Fang

Marc R Delvaux

Chin Shih

Chin-Hsien Shih

Sheng-Lin Lo

Blake McHale

Sean Gillen

In various examples, sets of correlated timestamps are sampled from clock sources. The sets of correlated timestamps are used to compute translation data, such as offsets and/or rates of change of the clock sources. The offsets and/or rates of change may be used to translate a timestamp to a reference time domain. The sampled clock sources may be frequency locked and the translation may be performed without using the rates of change. For example, a running average of the offsets may be used to perform the translation. The translated timestamps and corresponding sensor measurements may be provided to one or more applications for use in performing one or more operations for a machine, such as perception and/or control operations.

Time synchronized sensor data for robotics systems and applications

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

A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Systems and methods for computer-assisted shuttles, buses, robo-taxis, ride-sharing and on-demand vehicles with situational awareness

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

Efficient lossless compression of captured raw image information systems and methods

Efficient and effective permission confidential information protection systems and methods are described. The secure information protection systems and methods facilitate storage of confidential information in a manner safe from rogue software access. In one embodiment, a confidential information protection method is implemented in hardware and facilitates protection against software and/or Operating System hacks. In one exemplary implementation, a confidential information protection method includes setting a permission sticky bit flag to a default state upon system set up. The permission sticky bit flag access permission indication is adjusted at system reset in accordance with an initial application instruction. Access to the confidential information is restricted in accordance with the permission sticky bit and the permission sticky bit is protected from adjustments attempting to violate the permission indication. For example, another software application can not access or alter confidential information (e.g., an encryption key, initialization vector, etc.) if a permission sticky bit is designated as the highest security rating (e.g., disabling read permission and write permission until system reset).

Confidential information protection system and method

Techniques for securely updating a boot image without knowledge of a secure key used to encrypt the boot image.

Secure update of boot image without knowledge of secure key

Growing community of inventors

San Francisco, CA, United States of America

Gordon Grigor