A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the system comprising at least two sensors that are operably configured to generate one or more of a range measurement and a bearing measurement to an object, wherein the range and bearing measurements have associated uncertainties.

A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the method comprising generating one or more of a range measurement and a bearing measurement to an object using at least two sensors, wherein the range and bearing measurements have associated uncertainties.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status and/or configuration of autonomous operation features of an autonomous or semi-autonomous vehicle may be determined, such as via an on-board computer system or mobile device, and/or then directly or indirectly wirelessly communicated via data transmission from the vehicle computer system or mobile device to a remote server. An adjustment to one or more risk levels associated with operation of the autonomous or semi-autonomous vehicle may also be determined, and an auto insurance policy, premium, or discount may be adjusted based upon the adjustment to the risk levels and presented to the customer for their review and approval. As a result, insurance cost savings may be passed onto risk averse customers that opt into to a rewards program.

A management system includes a storage and a processor. While an agricultural machine including an GNSS receiver is traveling, the storage stores GNSS data output from the GNSS receiver and sensing data output from a sensor sensing a surrounding environment of the agricultural machine in association with each other. The processor is configured or programmed to generate and output visualized data, which represents the surrounding environment of the agricultural machine, based on the GNSS data and the sensing data, when reception interference of a satellite signal occurs.

A management system includes a storage and a processor. While an agricultural machine including an GNSS receiver is traveling, the storage stores GNSS data output from the GNSS receiver and sensing data output from a sensor sensing a surrounding environment of the agricultural machine in association with each other. The processor is configured or programmed to generate and output visualized data, which represents the surrounding environment of the agricultural machine, based on the GNSS data and the sensing data, when reception interference of a satellite signal occurs.

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 driverthe 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.

A domestic robotic system, for example for mowing the lawn, including a robot, which includes: a movement system having wheels or the like for moving the robot over a surface; an image obtaining device, such as a camera, for obtaining images of the exterior environment of the robot; and at least one processor in electronic communication with the movement system and the image obtaining device. The at least one processor is programmed to: detect a predetermined pattern within at least one of the images, with this predetermined pattern being associated with a marker provided on a base station; respond to the detection of the predetermined pattern by determining, by a first process, an estimate of the robot's position and/or orientation, this estimate of the robot's position and orientation being relative to the base station, the at least one processor and the image obtaining device thereby forming part of a first positioning system for the robot; determine, by a second process, an alternative estimate of the robot's position and/or orientation, the at least one processor thereby forming part of a second positioning system for the robot; and perform at least one calibration of the second positioning system using the first positioning system.

Communications between heavy equipment machines during tree felling operations. A method includes identifying a tree felling area to be cut in a tree felling operation and determining instructions for executing the tree felling operation with two or more heavy equipment machinery. The method includes receiving first sensor data from a first heavy equipment during execution of the tree felling operation and providing the first sensor data to a second heavy equipment during execution of the tree felling operation.

Communications between heavy equipment machines during tree felling operations. A method includes identifying a tree felling area to be cut in a tree felling operation and determining instructions for executing the tree felling operation with two or more heavy equipment machinery. The method includes receiving first sensor data from a first heavy equipment during execution of the tree felling operation and providing the first sensor data to a second heavy equipment during execution of the tree felling operation.

A working vehicle includes a vehicle body capable of traveling, a ground working device attached to the vehicle body to perform ground working, an imaging device located on the vehicle body to image a ground working result after the ground working by the ground working device, and a storage to store a ground working image representing the ground working result taken by the imaging device.