Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include monitoring a fleet of vehicles, at least one of which is configured to autonomously transit from a first geographic region to a second geographic region, detecting data indicating an event associated with the vehicle having a calculated confidence level, receiving data representing a subset of candidate trajectories responsive to detecting the event, which is associated with a planned path for the vehicle, identifying guidance data to select from one or more of the candidate trajectories as a guided trajectory, receiving data representing a selection of a candidate trajectory, and transmitting the selection of the candidate trajectory as of the guided trajectory to the vehicle.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include monitoring a fleet of vehicles, at least one of which is configured to autonomously transit from a first geographic region to a second geographic region, detecting data indicating an event associated with the vehicle having a calculated confidence level, receiving data representing a subset of candidate trajectories responsive to detecting the event, which is associated with a planned path for the vehicle, identifying guidance data to select from one or more of the candidate trajectories as a guided trajectory, receiving data representing a selection of a candidate trajectory, and transmitting the selection of the candidate trajectory as of the guided trajectory to the vehicle.

Provided is an aircraft 10 which has been configured for conducting airborne gravimetry surveys, comprising a gravimeter 14, a global navigation satellite system (GNSS) receiver 18 arranged in signal communication with the gravimeter 14, as well as a Doppler lidar system 20 arranged in signal communication with the gravimeter 14. The lidar system 20 is configured to determine a vertical velocity of the aircraft 10 at a predetermined time, with a time signal from the GNSS receiver 18 used to operatively synchronise both the gravimeter 14 and lidar system 20 measurements. In this manner, a gravitational acceleration measurement of the gravimeter 14 is differentially isolable from a kinematic acceleration derivable from the synchronous lidar measurement.

Provided is an aircraft 10 which has been configured for conducting airborne gravimetry surveys, comprising a gravimeter 14, a global navigation satellite system (GNSS) receiver 18 arranged in signal communication with the gravimeter 14, as well as a Doppler lidar system 20 arranged in signal communication with the gravimeter 14. The lidar system 20 is configured to determine a vertical velocity of the aircraft 10 at a predetermined time, with a time signal from the GNSS receiver 18 used to operatively synchronise both the gravimeter 14 and lidar system 20 measurements. In this manner, a gravitational acceleration measurement of the gravimeter 14 is differentially isolable from a kinematic acceleration derivable from the synchronous lidar measurement.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving data associated with a sensor measurement of a perceived object, determining a label associated with the perceived object based on an initial calibration, retrieving log file data associated with the label, determining a calibration parameter associated with the sensor measurement based on the retrieved log file data, and storing the calibration parameter in association with a sensor associated with the sensor measurement. Sensors may be calibrated on the fly while the autonomous vehicle is in operation using one or more other sensors and/or fused data from multiple types of sensors.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving data associated with a sensor measurement of a perceived object, determining a label associated with the perceived object based on an initial calibration, retrieving log file data associated with the label, determining a calibration parameter associated with the sensor measurement based on the retrieved log file data, and storing the calibration parameter in association with a sensor associated with the sensor measurement. Sensors may be calibrated on the fly while the autonomous vehicle is in operation using one or more other sensors and/or fused data from multiple types of sensors.

A system for tracking wearable user devices is provided herein. The system may include a tracking environment, comprising: one or more scene light sources, wherein the location of the scene light sources is known within said tracking environment; one or more scene detectors operable to detect light within the tracking environment, wherein the location and orientation of said one or more scene detectors is known within said tracking environment; one or more scene reflectors operable to reflect light originating from said one or more scene light sources, wherein the location of said one or more scene reflectors is known within said tracking environment; and, one or more wearable user devices comprising a curved reflective surface with known geometry; and, a computer processor operable to analyse light readings detected by said one or more scene detectors, and to calculate a position of the one or more wearable user devices.

An apparatus for determining a spatial position and orientation of a tracked measuring device includes a light detection and ranging (LIDAR) unit having at least one measurement channel configured to generate at least one measurement signal, and a control and evaluation unit including a reception unit configured to receive data from the tracked measuring device in wireless fashion, the LIDAR unit being configured to generate a LIDAR signal for the at least one measurement signal and to transfer said LIDAR signal to the control and evaluation unit, the apparatus having a synchronization channel integrated at least in part into the measurement channel of the LIDAR unit and configured to determine a synchronization information item, and the control and evaluation unit being configured to temporally synchronize the data of the tracked measuring device and the LIDAR signal by taking into account the at least one synchronization information item.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include monitoring a fleet of vehicles, at least one of which is configured to autonomously transit from a first geographic region to a second geographic region, detecting data indicating an event associated with the vehicle having a calculated confidence level, receiving data representing a subset of candidate trajectories responsive to detecting the event, which is associated with a planned path for the vehicle, identifying guidance data to select from one or more of the candidate trajectories as a guided trajectory, receiving data representing a selection of a candidate trajectory, and transmitting the selection of the candidate trajectory as of the guided trajectory to the vehicle.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include monitoring a fleet of vehicles, at least one of which is configured to autonomously transit from a first geographic region to a second geographic region, detecting data indicating an event associated with the vehicle having a calculated confidence level, receiving data representing a subset of candidate trajectories responsive to detecting the event, which is associated with a planned path for the vehicle, identifying guidance data to select from one or more of the candidate trajectories as a guided trajectory, receiving data representing a selection of a candidate trajectory, and transmitting the selection of the candidate trajectory as of the guided trajectory to the vehicle.