A vehicle with a hybrid drivetrain including a fuel-fed engine coupled to a first drive axle, an electric motor coupled to a second drive axle and an APU for providing electrical power at stopover locations, and further including a controller for determining a location of the vehicle, a location of a stopover location, determining a target SOC of a battery for operating the APU at the stopover location and operating a hybrid control system to provide the target SOC for the vehicle at the stopover location.

Disclosed are a clock offset determination method and apparatus. The clock offset determination method provided in the embodiment of the present application includes: determining, by measuring downlink positioning reference signals (PRS) from a reference base station and a non-reference base station, a first positioning measurement value; determining, on the basis of the first positioning measurement value, a first clock offset between the reference base station and the non-reference base station; and on the basis of the first clock offset, assisting a target terminal to obtain a second clock offset.

Disclosed are a clock offset determination method and apparatus. The clock offset determination method provided in the embodiment of the present application includes: determining, by measuring downlink positioning reference signals (PRS) from a reference base station and a non-reference base station, a first positioning measurement value; determining, on the basis of the first positioning measurement value, a first clock offset between the reference base station and the non-reference base station; and on the basis of the first clock offset, assisting a target terminal to obtain a second clock offset.

A system for locating an optimal location of a reception antenna that has an unmanned aerial vehicle (UAV), a wireless internet service provider (WISP) tower configured for transmitting radio signals, and an antenna removably coupled to the unmanned aerial vehicle, the antenna configured for receiving the radio signals. Further, the system has a processor for automatically flying the UAV to a height, for rotating the unmanned aerial vehicle at the height and detecting the radio signals from the at least one WISP tower as the UAV rotates to determine an optimal azimuth, and if the radio signals received are not conducive for the provision of wireless services at the height, the processor moves the UAV to different heights and rotates the UAV until radio signals received are conducive for the provision of wireless services thereby determining an optimal azimuth and location altitude range for a reception antenna.

Techniques are discussed herein for detecting anomalous signals such as spoofed satellite positioning system (SPS) signals and for the transmission of accurate location estimates between user equipments (UEs) when the SPS signals are not reliable. A UE determines an SPS derived location estimate and determines an associated confidence level. The confidence level is determined based on time or location derived from the SPS signals, e.g., relative to local time or non-SPS information, such as stored previous location estimates, non-SPS sensor information, and location information from other UEs. The UE transmits location information to other UEs that includes a selected location estimate, confidence level, and the source of the location estimate, e.g., where the SPS derived location estimate is selected if the confidence level is high and the non-SPS derived location estimate is selected if the confidence level is low.

Techniques are discussed herein for detecting anomalous signals such as spoofed satellite positioning system (SPS) signals and for the transmission of accurate location estimates between user equipments (UEs) when the SPS signals are not reliable. A UE determines an SPS derived location estimate and determines an associated confidence level. The confidence level is determined based on time or location derived from the SPS signals, e.g., relative to local time or non-SPS information, such as stored previous location estimates, non-SPS sensor information, and location information from other UEs. The UE transmits location information to other UEs that includes a selected location estimate, confidence level, and the source of the location estimate, e.g., where the SPS derived location estimate is selected if the confidence level is high and the non-SPS derived location estimate is selected if the confidence level is low.

A system and method are provided for data fusion between portable electronic devices and wearable accessories that is used to improve location information, particularly with respect to vertical location. A barometer sensor in a wearable accessory is used to obtain relative accurate height information, and an ultra wide band (UWB) radio is used to determine the distance between the wearable accessory and the portable electronic device. At a second timestamp, a barometer in a wearable device is used to calculate a difference in elevation between the first timestamp and the second timestamp. This measurement, along with a measured distance between the devices, can be used to accurately determine elevation. The wireless accessory and the portable electronic device communicate the obtained height and distance information. Accordingly, accurate navigation signals may be provided, even where multiple levels of roadways overlap, such as in parking garages or complex highway interchanges.

A system and method are provided for data fusion between portable electronic devices and wearable accessories that is used to improve location information, particularly with respect to vertical location. A barometer sensor in a wearable accessory is used to obtain relative accurate height information, and an ultra wide band (UWB) radio is used to determine the distance between the wearable accessory and the portable electronic device. At a second timestamp, a barometer in a wearable device is used to calculate a difference in elevation between the first timestamp and the second timestamp. This measurement, along with a measured distance between the devices, can be used to accurately determine elevation. The wireless accessory and the portable electronic device communicate the obtained height and distance information. Accordingly, accurate navigation signals may be provided, even where multiple levels of roadways overlap, such as in parking garages or complex highway interchanges.

A method for generating a physical model of a path from GPS data. The method involves receiving GPS data defining a path from a GPS-enabled device and receiving a digital terrain model for an area that includes the path. An area of interest along the path is then identified and the GPS data associated with the area of interest is smoothed. The digital terrain model is sampled along the path and an elevation of the path is smoothed using a weighted average of the digital terrain model and the GPS data to create modified path data that is scaled to produce a first ribbon that is printed.

A method for generating a physical model of a path from GPS data. The method involves receiving GPS data defining a path from a GPS-enabled device and receiving a digital terrain model for an area that includes the path. An area of interest along the path is then identified and the GPS data associated with the area of interest is smoothed. The digital terrain model is sampled along the path and an elevation of the path is smoothed using a weighted average of the digital terrain model and the GPS data to create modified path data that is scaled to produce a first ribbon that is printed.