Nio USA, Inc.

Nio Technology (Anhui) Co., Ltd.

Edward H Baik

Abhishek Singhal

Christopher Francis Pouliot

Gautam Muralidhar

Jonathan A Cox

Fei Xiao

Nilesh Vijay Kulkarni

Christopher Li

Lisa E Falkson

Zhou Xing

Marzieh Parandehgheibi

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 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

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

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Mountain View, CA, United States of America

Edward H Baik