Amazon Technologies, Inc.

Daimler Chrysler Ag

Daimler Ag

Ramsle Technology Group Gmbh, LLC

Stefan Schroedl

Thomas Jay Hoover

Adam Callahan Sanders

Bernd Woltermann

Seth Olds Rogers

Christopher Kenneth Hoover Wilson

Andrew S McLandress

Wolfgang Weiss

Vikas Taliwal

Christof Nitsche

Jamie Gertsch

Method and systems personalizing the search results presented to a user in an electronic marketplace. A search query is received and a set of search results related to the search query are obtained. Individual entries of the search results are associated with a category type. The search results are sorted in a number of category groups according to the category type. An entry from each category group is selected and scores are determined for the selected entries. A highest scored entry is assigned to a highest available position in a resultant search result set. The scores for the entries that remain unassigned are increased. For the category group corresponding to the assigned entry, another entry is selected and scored. A highest entry score is assigned the next highest position. The process may continue recursively until all, or a threshold number, of entries have been assigned to the resultant list.

Increasing the relevancy of search results across categories

Method and systems personalizing the search results presented to a user in an electronic marketplace. Data for a search query in an electronic marketplace is received. The query is executed and search results are received. Scores are calculated each item in the search result based at least in part on at least one of global navigational data and personal navigational data. Each item is allocated a position in an ordered search result list based at least in part on the scores. When at least some subset of the items in the search result list have been scored and allocated a position in the ordered search result list, the ordered search result list may be presented to the user.

A method for on-board real-time diagnostics of a mobile technical system using an adaptive technique to approximate stationary characteristic curves resulting from a workshop test. This adaptive technique uses observed non-stationary normal driving data to eliminate confounding variables.

Method for simplified real-time diagnoses using adaptive modeling

In a method for preventing rollover for a vehicle traveling on a road, for each present position of the vehicle as it moves forward, its speed is forecasted for future positions of the vehicle on the road, based on an assumption regarding driving style of the operator, and based on a map containing road geometry data and statistical speed data for vehicles traveling said road. At each such present position of the vehicle, a maximum safe speed is determined for points on the road forward of the vehicle, based on a maximum lateral acceleration, the road geometry and the vehicle parameters. A rollover warning is generated for any current position of the vehicle at which the forecasted future speed for at least one particular point on the road forward of the vehicle exceeds the determined maximum safe speed at particular point.

Curve rollover warning system for trucks

A system installed in a motor vehicle for inferring a vehicle operator's stress level from body sensors and from environmental data related to the position and operation of the vehicle. The system functions in a training phase using machine learning techniques to derive a model of an individual operators stress reaction to the environment in which the vehicle is operated and, using the results of this training phase, the system is subsequently used to predict stress levels to be expected when certain traffic conditions are imminent based on a projection of the driver's physiolocial state. The result of this prediction of stress level for the individual driver is used to control or warn the driver with respect to operation and scheduling of attention diverting devices such as cellular phones.

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San Francisco, CA, United States of America

Stefan Schroedl