US Patent:
20190186939, Jun 20, 2019
Inventors:
- San Jose CA, US
Gautam Muralidhar - San Jose CA, US
Christopher F. Pouliot - San Mateo CA, US
Edward H. Baik - Mountain View CA, US
Marzieh Parandehgheibi - San Jose CA, US
Abhishek Singhal - Santa Clara CA, US
International Classification:
G01C 21/34
G06N 99/00
G06N 5/04
G05D 1/00
Abstract:
Systems of an autonomous vehicle and the operations thereof are provided. The vehicle can predict a user's trip using his or her history of past trips, the relevant context, and the current environmental conditions. The navigation system of the vehicle can use historical GPS data, defined by the sequence of position measurements, of a given vehicle to determine frequently visited locations. Then, the navigation system may augment the learned knowledge of frequently visited locations and routes with the relevant context and environmental conditions to make recommendations on the locations the user is most likely to visit and the route most likely to drive on. More specifically, the navigation system can automatically cluster historical trips by similarity (e.g., trips with similar contexts and/or environmental conditions), while identifying, mitigating, and/or eliminating the potential for statistical outliers (trips taken by a driver that are infrequent and thus less useful for predicting future trips).