Disclosed are techniques for navigating a mobile machine, such as an autonomous robot, in an environment that includes objects that may block, reflect, or distort satellite signals to be used for positioning. Satellite data may be captured from one or more satellites. An image may be captured using an imaging device that is at least partially oriented toward the one or more satellites. A set of sky scores may be calculated for a set of ground positions surrounding the mobile machine based on the satellite data and the image. Each of the set of sky scores may be indicative of an accuracy of a satellite-based position at one of the set of ground positions. The mobile machine's navigation may be modified using the set of sky scores.

Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

An autonomous vehicle, system and method of operating an autonomous vehicle. The system includes a communication module and a processor. The communication module sends a first set of Global Positioning Satellite (GPS) data over a first communication channel and a second set of GPS data over a second communication channel. The second set of GPS data is an authenticated data set. The processor operates the autonomous vehicle using the first set of GPS data, and compares the first set of GPS data to the second set of GPS data to verify the integrity of the first set of GPS data. A first value for a vehicle parameter based on the first set of GPS data is compared to a second value for the vehicle parameter based on data from a vehicle-based sensor. The first set of GPS data is rational when the difference is less than a selected threshold.

A system for autonomous mower navigation includes a robotic golf greens mower, an RTK-GPS base for providing RTK-GPS correction data, a cloud based data processing service for processing geolocation data, one or more computer servers, one or more mobile devices, a data communications network for providing communications access between any of the RTK-GPS base, the mobile device, the cloud service, and the robotic greens mower. The RTK-GPS correction data is processed by the cloud service and provided to the robotics greens mower via the data communications network.

This invention describes a tactical advanced robotic engagement system (ARES) (100) for combat or rescue mission by employing advanced electronics, AI and AR capabilities. In ARES, a user carries a weapon or tool (102) equipped with a hand-operable controller (150) for controlling an associated UGV (170), UAV (180) or UUV. The UGV (170) provides a ground/home station for the UAV (180). The UGV, UAV is equipped with a camera (290) to obtain real-time photographs or videos and to relay them to a heads-up display (HUD) (110) mounted on the user's helmet (104). The HUD (110) system provides intuitive UIs (132) for communication and navigation of the UGV, UAV; AR information reduces visual cognitive and mental loads on the user, thereby enhancing situation awareness and allowing the user to maintain heads-up, eyes-out and hands-on trigger readiness. The HUD (110) also provides intuitive UIs to connect up with peers and/or a Command Centre (190).

In a method for determining the geographic position and orientation of a vehicle, an image of the vehicle's surroundings is recorded by at least one camera of the vehicle, wherein the recorded image at least partially comprises regions of the vehicle's surroundings on the ground level. Classification information is generated for the individual pixels of the recorded image and indicates an assignment to one of several given object classes, wherein based on this assignment, a semantic segmentation of the image is performed. Ground texture transitions based on the semantic segmentation of the image are detected. The detected ground texture transitions are projected onto the ground level of the vehicle's surroundings. The deviation between the ground texture transitions projected onto the ground level of the vehicle's surroundings and ground texture transitions in a global reference map is minimized. The current position and orientation of the vehicle in space is output based on the minimized deviation.

A self-propelled construction machine comprises a machine frame having a working means arranged thereon, and a drive means for driving left and right crawler tracks at respective predetermined chain speeds. A control unit is configured such that, based on a distance between a front reference point with respect to the machine frame in the working direction and a predetermined path, the chain speed(s) of the left and/or right crawler track is predetermined such that the front reference point moves on the predetermined path. The control unit is further configured such that, during cornering, the control is corrected based on a distance between a rear reference point with respect to the machine frame in the working direction and the predetermined path such that the distance between the rear reference point with respect to the machine frame in the working direction and the predetermined path is reduced.

A management system for a transport vehicle includes a storage unit that stores a traveling path outline indicating an outline of a traveling path at a work site and an intersection outline indicating an outline of an intersection at the work site, a designation unit that designates a start point of traveling of the transport vehicle at the work site and an end point of traveling of the transport vehicle, and a connection unit that generates a traveling area outline by connecting the traveling path outline and the intersection outline on the basis of the start point and the end point designated by the designation unit.

Sensor systems for communications between heavy equipment machines during tree felling operations. A system includes a first heavy equipment comprising a first winch and a second heavy equipment comprising a second winch. The system includes a first cable attached to the first winch and a fulcrum roller and a second cable attached to the second winch and the fulcrum roller. The system is such that the first heavy equipment communicates with the second heavy equipment by way of long-range radio signals.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.