Tom Tom International B.v.

Tomtom North America, Inc.

Scope Technologies Holdings Limited

Tomtom Germany Gmbh & Co. Kg

Clayton Richard Morlock

Gil Emanuel Fuchs

Heiko Mund

Samuel Lavie

Shaundrea Margaret Newman Kenyon

Shaundrea Kenyon

A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Accident monitoring using remotely operated or autonomous aerial vehicles

A method is disclosed involving receiving GPS data from persona portable training devices of users when traversing an off-road segment of an electronic map together with associated data indicative of a heart rate of a user during the movements. The position and heart rate data for each user traversing the segment are processed using data indicative of a fitness profile for the user. The resulting data is used to determine a normalized cost to be associated with the segment, indicative of the difficulty in traversing the segment. The cost data is generated using a neural network. The resulting cost data for different segments in a network of segments is used to generate route suggestions for users based upon desired workout intensity, fitness levels, etc.

Method and apparatus for creating cost data for use in generating a route across an electronic map

A method for improving and extending an existing digital road network and generating new networks from statistically relevant amounts of probe data recorded by GPS-enabled navigation devices. New probe data is matched to the existing digital map, then the data merged into the existing network using a time-dependent weight and/or accuracy-dependent weight. A recalculation date is established, and the weight value of a line segment and/or trace is adjusted as a function of the time span relative to the recalculation. The function may include setting a maximal time period divided into bins each having a respective weight reduction factor, or applying decay function. Through this technique, digital maps can be updated and extended without undue influence exerted by old trace data.

Time and/or accuracy dependent weights for network generation in a digital map

Methods of pre-processing probe trace data include examining a sequential dataset for a route of travel between two points, identifying at least one anomaly in the sequential dataset, identifying at least one datum of the sequential dataset occupying a sequential position adjacent to the identified at least one anomaly, and inserting at least one non-anomalous datum to occupy a sequential position of the identified at least one anomaly in the sequential dataset, the at least one non-anomalous datum being determined based on one of extrapolation, smoothing and interpolation of the at least one datum.

Growing community of inventors

Lebanon, NH, United States of America

Clayton Richard Morlock