Bayerische Motoren Werke Aktiengesellschaft

Kasthuri Rengan Nallappa Soundararajan

Jilei Tian

Alvin Chin

Clint Woker

Yang Cao

Xiaogang Yang

Michael Karg

The disclosure is directed to determining an actual point-of-interest (POI). For example, using at least one computing device, a first set of probable POIs corresponding to a first geographical location and first POI category information may be determined. The at least one computing device may also be used to determine a second set of probable POIs corresponding to a second geographical location and determine second POI category information. By analyzing the first and second POI category information, the actual POI from the first and second set of probable POIs may be determined.

Method and system for determining an actual point-of-interest based on user activity and environment contexts

The disclosure is directed to improving driving experience by determining and providing a personalized estimated time of arrival (ETA). For example, using at least one computing device, driving data associated with a user may be collected and stored in memory. The at least one computing device may also be used to receive ETA-related data including one or more real time ETA estimations, perform analysis on one or more of the driving data and the ETA-related data so as to determine a set of personalized parameters of a mapping function that correspond to a training set. The at least one computing device may also be used to determine the personalized ETA based at least in part on the determined set of personalized parameters and provided to the user.

Method and system for determining and providing a personalized ETA with privacy preservation

The disclosure is directed to improving driving experience. For example, using one or more computing devices, a current location of a user may be determined and a place of interest, located at a distance from the current location, may be identified. The one or more computing devices may determine that the place of interest meets one or more requirements, and designate the place of interest as a candidate place of interest. The candidate place of interest may be recommended to the user based on a defined criteria. The one or more computing devices may also determine that the user has arrived at a parking location corresponding to the candidate place of interest, and associate the parking location and the candidate place of interest based on one or more inputs by the user.

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Schaumburg, IL, United States of America

Kasthuri Rengan Nallappa Soundararajan