Abstract: A method to dynamically and adaptively sample the depths of a scene using the principle of triangulation light curtains is described. The approach directly detects the presence or absence of obstacles (or scene points) at specified 3D lines in a scene by sampling the scene. The scene can be sampled sparsely, non-uniformly, or densely at specified regions. The depth sampling can be varied in real-time, enabling quick object discovery or detailed exploration of areas of interest. Once an object is discovered in the scene, adaptive light curtains comprising dense sampling of a region of the scene containing the object, can be used to better define the position, shape and size of the discovered object.

Abstract: A method to dynamically and adaptively sample the depths of a scene using the principle of triangulation light curtains is described. The approach directly detects the presence or absence of obstacles (or scene points) at specified 3D lines in a scene by sampling the scene. The scene can be sampled sparsely, non-uniformly, or densely at specified regions. The depth sampling can be varied in real-time, enabling quick object discovery or detailed exploration of areas of interest. Once an object is discovered in the scene, adaptive light curtains comprising dense sampling of a region of the scene containing the object, can be used to better define the position, shape and size of the discovered object.

Abstract: An arrangement for obstacle detection in autonomous vehicles wherein two significant data manipulations are employed in order to provide a more accurate read of potential obstacles and thus contribute to more efficient and effective operation of an autonomous vehicle. A first data manipulation involves distinguishing between those potential obstacles that are surrounded by significant background scatter in a radar diagram and those that are not, wherein the latter are more likely to represent binary obstacles that are to be avoided. A second data manipulation involves updating a radar image to the extent possible as an object comes into closer range. Preferably, the first aforementioned data manipulation may be performed via context filtering, while the second aforementioned data manipulation may be performed via blob-based hysteresis.

Abstract: An autonomous mobile robot. The robot includes a computing device and a modeling module. The modeling module is communicably connected to the computing device, and is configured for autonomously generating a model for each navigation mode of the robot.

Abstract: The invention comprises an autonomous off-road vehicle capable of traveling at high speeds. Preferred embodiments of the invention comprise a system for sensory instrument stabilization comprises three axis assemblies movable about three orthogonal axes. The invention also comprises novel methods for generating a high accuracy route for a robotically controlled vehicle. Other aspects of the invention include drive time, perception-based path adjustments to steer a robotic vehicle within an intended corridor. Another embodiment of the invention comprises the consideration of vehicular dynamics in generating a high accuracy route and in steering a robotic vehicle within an intended corridor.

Abstract: A system and method for controlling the navigation of surface based vehicle uses a route that is obtained by manually driving the vehicle over the route to collect data defining the absolute position of the vehicle at various positions along the route. The collected data is smoothed to provide a consistent route to be followed. The smoothed data is subsequently used to automatically guide the vehicle over the route.

Abstract: A system (400) for positioning and navigating an autonomous vehicle (310) allows the vehicle (310) to travel between locations. Position information (432) is derived from global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites (200, 202, 204, and 206) are not in the view of the vehicle (310). Navigation of the vehicle (310) is obtained using the position information (432), route information (414), obstacle detection and avoidance data (416), and on board vehicle data (908 and 910).

Abstract: A system and method for enabling an autonomous vehicle to track a desired path plans a continuous path to return to the desired path when the vehicle deviates from the desired path. The continuous path is determined based on the vehicle's position, the desired path, and a lookahead distance. The lookahead distance is the distance on the desired path within which the continuous path and the desired path converge. The lookahead distance may vary as a function of vehicle speed. In one embodiment of the present invention, the continuous path is determined as a quintic polynomial.

Abstract: A system (400) for positioning and navigating an autonomous vehicle (310) allows the vehicle (310) to travel between locations. Position information (432) is derived from global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites (200, 202, 204, and 206) are not in the view of the vehicle (310). Navigation of the vehicle (310) is obtained using the position information (432), route information (414), obstacle detection and avoidance data (416), and on board vehicle data (908 and 910).

Abstract: A system and method detects obstacles in a road being traveled by a vehicle. Edge points of the road are calculated from known road data. A series of scan lines are made of the road ahead of the vehicle to obtain an image plane of the road ahead of the vehicle. The calculated edge points are projected into the image plane to determine the left and right edge points of each scan line in the image plane. Each scan line is processed to locate any discontinuities between the left and right edge points, where the discontinuities correspond to objects in the road.

Abstract: A system and method for causing an autonomous vehicle to track a desired path uses reference postures to define the desired path. Actual vehicle postures are determined using sensors aboard the autonomous vehicle. An expected vehicle posture at the end of a next time interval is determined on the actual vehicle posture. A desired vehicle posture at the end of the next time interval is determined based on the reference postures. A steering angle for the next time interval for the autonomous vehicle is determined based on the difference between the reference posture and the desired vehicle posture at the end of the next time interval.

Abstract: A system for generating a path allows a vehicle to traverse a predetermined route. The system stores route data for the predetermined route. The route data identifies a series of contiguous path segments that form the predetermined route. The route data also identifies a series of nodes located at the beginning and the end of the predetermined route and between adjacent path segments. Each path segment represents a series of postures along the predetermined route. Each posture identifies a position, a heading, and a curvature for the vehicle at a particular point along the predetermined route. The system stores the path segments and nodes as compressed path data. In one embodiment, the compressed path data is a function that is continuous in posture, i.e., continuous in position, heading and curvature. The system retrieves the compressed path data and generates a series of postures from the retrieved compressed path data to allow the vehicle to traverse the predetermined route.

Abstract: A system and method for controlling an autonomously navigated vehicle uses a vehicle manager to control vehicle subsystems and to respond to commands from either a vehicle navigation system or a remote control panel. The vehicle manager controls vehicle subsystems including a speed control subsystem, a steering control subsystem, an auxiliary control subsystem, and a monitor subsystem. The speed control subsystem controls the speed of the vehicle in response to a speed command from the vehicle manager. The steering control subsystem controls the steering angle of the vehicle in response to a steering command from the vehicle manager. The auxiliary control subsystem controls auxiliary functions of the vehicle in response to an auxiliary command from the vehicle manager. The monitor subsystem monitors the status of each of the other subsystems and provides the status to the vehicle manager.

Abstract: An apparatus and method for navigating a vehicle along a predetermined route use route data and path data to define the predetermined route. The route data represents one or more contiguous path segments between adjacent nodes along the predetermined route. The path data includes postures of the vehicle along each of the path segments. The postures define the desired position, heading, curvature and speed of vehicle at various locations along the path segments. The apparatus and method use the posture information to generate and track a path thereby allowing the vehicle to navigate along the predetermined route.

Abstract: A system (400) for positioning and navigating an autonomous vehicle (310) allows the vehicle (310) to travel between locations. Position information (432) is derived from global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites (200, 202, 204, and 206) are not in the view of the vehicle (310). Navigation of the vehicle (310) is obtained using the position information (432), route information (414), obstacle detection and avoidance data (416), and on board vehicle data (908 and 910).

Abstract: A system (400) for positioning and navigating an autonomous vehicle (310) allows the vehicle (310) to travel between locations. Position information (432) is derived from global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites (200, 202, 204, and 206) are not in the view of the vehicle (310). Navigation of the vehicle (310) is obtained using the position information (432), route information (414), obstacle detection and avoidance data (416), and on board vehicle data (908 and 910).

Abstract: A system (400) for positioning and navigating an autonomous vehicle (310) allows the vehicle (310) to travel between locations. Position information (432) is derived from global positioning system satellites (200, 202, 204, and 206) or other sources (624) when the satellites (200, 202, 204, and 206) are not in the view of the vehicle (310). Navigation of the vehicle (310) is obtained using the position information (432), route information (414), obstacle detection and avoidance data (416), and on board vehicle data (908 and 910).

Abstract: A mobile vehicle having a substantially hexagonally-shaped frame member that is movable between a collapsed position to enable the vehicle to enter a vessel opening or an area having constrained access points and a more stable expanded position. Drive apparatuses are attached to the frame member for driving the vehicle on a surface. The vehicle is also equipped with a tether line that is used to supply control power to the vehicle drives and to deploy and retrieve the vehicle. Various collapsible tool members are operably attached to the vehicle for performing various tasks within an enclosed environment.