An inspection robot, and methods and a controller thereof are disclosed. An inspection robot may include an inspection chassis including a plurality of inspection sensors and coupled to at least one drive module to drive the robot over an inspection surface. The inspection robot may also include a controller including an inspection data circuit to interpret inspection base data, an inspection processing circuit to determine refined inspection data, and an inspection configuration circuit to determine an inspection response value in response to the refined inspection data. The controller may further include an inspection response circuit to, in response to the inspection response value, provide an inspection command value while the inspection robot is interrogating the inspection surface.

A control unit of the sensor control device controls sensor based on the planimetric feature information related to the planimetric features and the sensor information related to the sensors. Thereby, while the sensors are appropriately operated as necessary, and the detailed current information of the planimetric feature is acquired by the sensors, the total data size of the information acquired by the sensors can be reduced.

A control unit of the sensor control device controls sensor based on the planimetric feature information related to the planimetric features and the sensor information related to the sensors. Thereby, while the sensors are appropriately operated as necessary, and the detailed current information of the planimetric feature is acquired by the sensors, the total data size of the information acquired by the sensors can be reduced.

A method (400) and a control unit (210) for ground bearing capacity analysis. The method (400) steps include determining (401) a shape of the terrain segment (130) ahead of a vehicle (100), based on sensor measurements; predicting (402) a distance between a sensor (120) of the vehicle (100) and the ground (110) at the terrain segment (130), before the vehicle (100) moves into the terrain segment (130); measuring (403) the distance between the sensor (120) of the vehicle (100) and the ground (110) when the vehicle (100) has moved into the terrain segment (130); and determining (404) that the terrain segment (130) is to be avoided due to insufficient bearing capacity when the predicted (402) distance between the sensor (120) and the ground (110) exceeds the measured (403) distance between the sensor (120) and the ground (110). Also, a method (600) and control unit (210) for route planning of the vehicle (100) are described.

A detection device configured to be arranged on a motor vehicle includes at least one bracket construction for mounting on a front of the motor vehicle. The at least one bracket construction has at least one detection element for detecting a road topography in the direction of travel in front of the motor vehicle under a water surface to detect obstacles or a water depth.

A detection device configured to be arranged on a motor vehicle includes at least one bracket construction for mounting on a front of the motor vehicle. The at least one bracket construction has at least one detection element for detecting a road topography in the direction of travel in front of the motor vehicle under a water surface to detect obstacles or a water depth.

Systems and methods to perform remote monitoring on a vehicle are described. One embodiment determines a state of a vehicle, where data associated with the vehicle is collected and logged. The data is transmitted to a data server. The data is processed, and vehicle information is extracted from the data. A state of the vehicle is determined based on the vehicle information.

Even when there is a plurality of road surface states within one geographical range or when there is a local road surface state, a road surface state is estimated with accuracy. Included are an aggregation unit (13, 15) that aggregates, on a per predetermined geographical unit basis, results of estimating road surface states using sensor data collected in advance for each of geographical ranges and including positional information obtained during travel of a moving object, the aggregation being based on the positional information, and an estimation unit (17) that estimates the road surface state for each of the geographical ranges and based on the estimation results aggregated by the aggregation unit.

Even when there is a plurality of road surface states within one geographical range or when there is a local road surface state, a road surface state is estimated with accuracy. Included are an aggregation unit (13, 15) that aggregates, on a per predetermined geographical unit basis, results of estimating road surface states using sensor data collected in advance for each of geographical ranges and including positional information obtained during travel of a moving object, the aggregation being based on the positional information, and an estimation unit (17) that estimates the road surface state for each of the geographical ranges and based on the estimation results aggregated by the aggregation unit.

In one aspect, a system for controlling the operation of a seed-planting implement may include a furrow-forming tool configured to form a furrow in soil present within a field. Furthermore, the system may include a sensor configured to capture data indicative of a topographical profile of the soil within the field. Additionally, a controller of the disclosed system may be configured to identify a topographical feature within the field based on the data received from the sensor. Furthermore, the controller may be configured to determine a position of the furrow-forming tool relative to the identified topographical feature. Additionally, the controller may be configured to initiate a control action to adjust the position of the furrow-forming tool when it is determined that the relative position between the furrow-forming tool and the identified topographical feature is offset from a predetermined positional relationship defined for the furrow-forming tool.