A system for collecting traffic information includes a vehicle having at least one sensor for collecting dead reckoning (DR) information, and a global positioning system (GPS) receiver configured to receive GPS information, and a server that maps the DR information and the GPS information to a server map to generate first map matching information, and collects the first map matching information as the traffic information when it is determined that a version of a software platform of the vehicle is a latest version and all the DR information and the GPS information are received.

A method for detecting a presence of interference during global navigation satellite system (GNSS)-based and inertial sensor signals (INS)-based localization of a vehicle includes determining localization results using a first filter configured to read in GNSS data and INS data, and storing a plurality of the determined localization results. The plurality of the determined localization results are after one another in terms of time and are each determined using the first filter. The method further includes analyzing the stored plurality of localization results using a second filter which differs from the first filter.

A method for detecting a presence of interference during global navigation satellite system (GNSS)-based and inertial sensor signals (INS)-based localization of a vehicle includes determining localization results using a first filter configured to read in GNSS data and INS data, and storing a plurality of the determined localization results. The plurality of the determined localization results are after one another in terms of time and are each determined using the first filter. The method further includes analyzing the stored plurality of localization results using a second filter which differs from the first filter.

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

Provided is a driver assistance system that may acquire more accurate position information of a vehicle without extracting landmark information or feature point information around the vehicle, the driver assistance system including: a global positioning system (GPS) module configured to acquire GPS information of the vehicle; a lidar configured to acquire point cloud data for an outside field of view of the vehicle; a communicator configured to receive a high definition map; and a controller comprising at least one processor configured to process the point cloud data, the high definition map, speed data and steering angle data, the speed data and the steering angle data being received through a vehicle communication network, wherein the controller is configured to generate dead reckoning information in response to processing the speed data and the steering angle data, generate position information of the vehicle based on the dead reckoning information and the GPS information, acquire intensity data around the vehicle in response to processing the high definition map received based on the position information, and compare the intensity data and the point cloud data to correct the position information.

Provided is a driver assistance system that may acquire more accurate position information of a vehicle without extracting landmark information or feature point information around the vehicle, the driver assistance system including: a global positioning system (GPS) module configured to acquire GPS information of the vehicle; a lidar configured to acquire point cloud data for an outside field of view of the vehicle; a communicator configured to receive a high definition map; and a controller comprising at least one processor configured to process the point cloud data, the high definition map, speed data and steering angle data, the speed data and the steering angle data being received through a vehicle communication network, wherein the controller is configured to generate dead reckoning information in response to processing the speed data and the steering angle data, generate position information of the vehicle based on the dead reckoning information and the GPS information, acquire intensity data around the vehicle in response to processing the high definition map received based on the position information, and compare the intensity data and the point cloud data to correct the position information.

An example operation includes one or more of determining a distance traveled by a transport using data points from a sensor, determining an error exists with one or more of the data points, correcting the error by the sensor, discarding one or more of the data points when the error is above a threshold or when the error cannot be corrected and determining a minimum reasonable path of the transport using a remaining portion of the data points.

The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.

The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.