Nio Usa, Inc.

Intel Corporation

Nio Technology (anhui) Co., Ltd.

Abhishek Singhal

Christopher Francis Pouliot

Gautam Muralidhar

Edward H Baik

Mahesh U Wagh

Jasmin Ajanovic

James S Higgins

Jonathan A Cox

Christopher P Ricci

Stefan T Hilligardt

Rachad Youssef Gamarra

Debendra Das Sharma

David J Harriman

Randy B Osborne

Nitin V Sarangdhar

Zohar Bogin

Nadav Aharony

Fei Xiao

Devon Worrell

Raul N Gutierrez

Hemant G Rotithor

Anthony Tao Liang

Kumar K Chinnaswamy

Christopher Li

Nilesh Vijay Kulkarni

Lisa E Falkson

Buderya S Acharya

Surya Kareenahalli

Marzieh Parandehgheibi

Jesus Palomino

Mario A Rubio

Zhou Xing

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Autonomy first route optimization for autonomous vehicles

A device for controlling an autonomous vehicle includes a processor and a memory including instructions that, when executed by the processor, cause the processor to detect that the autonomous vehicle has one or more malfunctioning components and to determine, in response to the detection, a likelihood that the autonomous vehicle is able to reach a desired stop location based on one or more factors associated with the one or more malfunctioning components. The device determines at least one maneuver for the autonomous vehicle based on the likelihood, and causes the autonomous vehicle to perform the at least one maneuver.

Methods and devices for autonomous vehicle operation

An autonomous vehicle or self-driving vehicle can protect persons from accidents. When the occupants of a vehicle exit the vehicle, those occupants can be endangered by the driving environment. Thus, while the occupants are outside the vehicle, the vehicle can continue to monitor the environment and provide warnings or intercept other vehicles or objects that may impact the occupants. Once all occupants have exited the vehicle, the vehicle's systems can continue to track each person around the vehicle and may engage, in limited maneuvers, to shield the pedestrians around the vehicle.

Methods and systems for providing a protect occupants mode with an autonomous vehicle

The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a user, for example, a driver or passenger, within a vehicle. The system can determine a action being conducted by a user or an event associated with the user. Then, the navigation system can augment or learn what type of route or conditions allows the user to conduct the action or event. From the learned information, the navigation system can determine a route that best assists with the action or event regardless of whether the route is the shortest or quickest. As such, the vehicle tailors the chosen navigation route based on the user's conditions or circumstances rather than the driving environment.

Productive and accident-free driving modes for a vehicle

A network crawler crawls one or more media sites to extract a plurality of titles for information contained in the one or more media sites. For example, the network crawler may extract the titles on the one or more media sites by identifying different computer formats and converting the titles in the different computer formats into a common computer format for comparison. User profiles which, includes user's interest are stored in a user profile interest database. A novel personalized news recommendation engine recommends news similar to the interest specified in a user profile, where maximum weighted matching is applied to score the similarity of news against user interest in the word2vec space.

Personalized news recommendation engine

Systems of an electrical vehicle and the operations thereof are provided that use object profiles to select autonomous vehicle operations, including acceleration rate, deceleration rate, steering angle, and inter-vehicle spacing.

Method and system for adaptive vehicle control in autonomous vehicles

Autonomous systems, such as vehicles being operated in a self-driving mode, may allow for human occupants to be inattentive to the operation of the system. However, events may occur that require a human user to perform an action. Systems and method are provided that enable an autonomous system to determine whether the system requires, or will require, a user action and whether the user is or is not attentive. If an action is required and the human is not attentive, an alerting protocol is executed to cause the system to perform actions that enable the user to be alerted, such as to enable the, now attentive, user to be able to perform the action.

Autonomous system operator cognitive state detection and alerting

Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The level of comfort with autonomous driving offered to the user and the parameters of operation of the autonomous vehicle might increase or decrease a driver's comfort (anxiety) with the vehicle. Sensors in the vehicle can detect a user's driving style, comfort level and may propose an autonomy level to the user and/or parameters of operation.

Vehicle autonomy level selection based on user context

The systems and methods described herein can be applied to a vehicle equipped with a sensor suite that can observe information about a location, for example, a traffic light duration. The system can record information, e.g., the traffic light colors, duration of color changes, and location of the traffic lights and can upload this information to the cloud. Then, the system can augment or learn about the location, e.g., learning of traffic patterns, and store the augmented data as database-based information, where available. The learned information can help a requesting vehicle to better estimate an estimated time of arrival (ETA) for common routes taken, provide more accurate ETAs based on historical knowledge, and/or calculate or provide alternative route information.

Adaptive route and motion planning based on learned external and internal vehicle environment

Systems of an electrical vehicle and the operations thereof are provided that forms ad hoc autonomous vehicle networks to conserve bandwidth in receiving information from a remote source and sending information to the remote source.

Method and system for collective autonomous operation database for autonomous vehicles

Systems of an electrical vehicle and the operations thereof are provided that augments learned behaviors of one vehicle with learned behaviors of other vehicles.

Method and system for behavioral sharing in autonomous vehicles

In one embodiment, the present invention includes a fabric on a first semiconductor die to communicate with at least one agent on the die according to an on-chip protocol and a packetization layer coupled to the fabric to receive command and data information from the fabric on multiple links and to packetize the information into a packet for transmission from the die to another die via an in-package packetized link. Other embodiments are described and claimed.

Packetized interface for coupling agents

A device, method, and system are disclosed. In one embodiment the device includes a first virtual machine to directly access a physical audio codec. The device also includes a virtual audio codec that is managed by the first virtual machine. The virtual audio codec can provide a custom interface to the physical audio codec for one or more additional virtual machines apart from the first virtual machine.

Growing community of inventors

Santa Clara, CA, United States of America

Abhishek Singhal