A first measuring device measures a location of its own vehicle relative to each feature point on a surrounding structure around a road surface on which the vehicle. A first feature-point is provided which, based on output from the first measuring device, acquires coordinates of the each feature point expressed in a coordinate system of the first measuring device, and uses a self-location to convert the coordinates into an external coordinate. A feature-point trajectory generation section is provided to generate, based on the first coordinates, a trajectory of the feature point group. A second measuring device measures a location of its own vehicle relative to a feature point located rearward of the feature point measured by the first measuring device. An anomaly determination section is provided to determine that anomaly occurs in a self-location estimation device if the second coordinates are on the trajectory.

A first measuring device measures a location of its own vehicle relative to each feature point on a surrounding structure around a road surface on which the vehicle. A first feature-point is provided which, based on output from the first measuring device, acquires coordinates of the each feature point expressed in a coordinate system of the first measuring device, and uses a self-location to convert the coordinates into an external coordinate. A feature-point trajectory generation section is provided to generate, based on the first coordinates, a trajectory of the feature point group. A second measuring device measures a location of its own vehicle relative to a feature point located rearward of the feature point measured by the first measuring device. An anomaly determination section is provided to determine that anomaly occurs in a self-location estimation device if the second coordinates are on the trajectory.

A system and method for determining a position and orientation (e.g., pose) of a rigid body. The rigid body may be a position enabled projector, a surveying rod, a power tool, a drill robot, etc., in a given space. The position of the rigid body is specified by a set of three coordinates and the orientation is specified by a set of three angles. As such, based on these six values, the position and orientation of the rigid body can be determined.

An integrated hands-free, point of view, action-sports, digital video camera (or camcorder) (10) includes: a rotary horizon adjustment controller (14) for adjusting the orientation of a horizontal image plane (16) recorded by an image sensor with respect to the orientation of a camera housing (22); a laser alignment system with laser sources (48) capable of projecting light to define a horizontal projection axis (52) that is coordinated with orientation of the horizontal image plane (16); a manually operable switch (80), which covers a microphone (90) whenever the switch (80) is in the OFF position, for controlling video data capture; and a quick-release mounting system (120) that retains a desired orientation of the camera (10).

An integrated hands-free, point of view, action-sports, digital video camera (or camcorder) (10) includes: a rotary horizon adjustment controller (14) for adjusting the orientation of a horizontal image plane (16) recorded by an image sensor with respect to the orientation of a camera housing (22); a laser alignment system with laser sources (48) capable of projecting light to define a horizontal projection axis (52) that is coordinated with orientation of the horizontal image plane (16); a manually operable switch (80), which covers a microphone (90) whenever the switch (80) is in the OFF position, for controlling video data capture; and a quick-release mounting system (120) that retains a desired orientation of the camera (10).

A method and apparatus for using unique landmarks to position industrial vehicles during start-up. In one embodiment, a method of using pre-positioned objects as landmarks to operate an industrial vehicle is provided. The method comprises identifying a start-up scenario from sensor data, wherein the start-up scenario comprises a unique marker start-up or a pre-positioned object start-up. in response to the identified start-up scenario, either a unique marker or pre-positioned object is identified within a physical environment, wherein the pre-positioned object or unique marker corresponds with a sub-area of the physical environment. The industrial vehicle pose is determined in response to the identity of the pre-positioned object or unique marker and the industrial vehicle is operated based on the determined industrial vehicle pose.

A method and apparatus for using unique landmarks to position industrial vehicles during start-up. In one embodiment, a method of using pre-positioned objects as landmarks to operate an industrial vehicle is provided. The method comprises identifying a start-up scenario from sensor data, wherein the start-up scenario comprises a unique marker start-up or a pre-positioned object start-up. in response to the identified start-up scenario, either a unique marker or pre-positioned object is identified within a physical environment, wherein the pre-positioned object or unique marker corresponds with a sub-area of the physical environment. The industrial vehicle pose is determined in response to the identity of the pre-positioned object or unique marker and the industrial vehicle is operated based on the determined industrial vehicle pose.

Embodiments of the present disclosure disclose a method for calibrating a relative pose, a device, and a medium. The method includes: obtaining first point cloud data of a scene collected by the laser radar in an automatic driving mobile carrier and first pose data collected by the navigation positioning system in the automatic driving mobile carrier; and determining the relative pose between the laser radar and the navigation positioning system based on the first point cloud data, the first pose data, second point cloud data pre-collected by a laser scanner in the scene and second pose data pre-collected by a positioning device in the scene.

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.