Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of creating a universal registry (10) of goods and/or services desired and system therefore is provided. The method includes creating a first registry (12) of goods and/or services desired; creating a second registry (14) of potential buyers (B) of the goods and/or services, and creating a third registry (16) of potential sellers (S) of the goods and/or services. Further, providing a central database (18) in communication with the first, second and third registries (12, 14, 16) and configuring the central database (18) to notify the potential buyers (B) in the second registry (14) when they are in the vicinity of at least one of the potential sellers (S) in the third registry (16) by sending a wireless electronic signal to a signal receiving device (20).

Abstract: A method for assisted map extrapolation computing establishing a database of geographic images and establishing a database of geospatial datasets extracted from the database of geographic images The method provides an unskilled user interface hosted remotely or self contained within a computing device loaded with imagery and analysis software wherein an unskilled user may select a geographic area The method superimposes any existing data from the geospatial datasets onto the geographic images for a geographic area and displays it to the unskilled user A set of algorithm parameter controls are provided wherein the individual may teach image analysis software how to pick transportation network features such as roads or other objects such as building footprints from the imagery The geospatial datasets are then updated with the features identified by the unskilled user assisted software

Abstract: 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.

Abstract: A wearable augmented reality computing apparatus with a display screen, a reflective device, a computing device and a head mounted harness to contain these components. The display device and reflective device are configured such that a user can see the reflection from the display device superimposed on the view of reality. An embodiment uses a switchable mirror as the reflective device. One usage of the apparatus is for vehicle or pedestrian navigation. The portable display and general purpose computing device can be combined in a device such as a smartphone. Additional components consist of orientation sensors and non-handheld input devices.