An electronic apparatus and method for assisting with driving of a vehicle are provided. The electronic apparatus includes: a processor configured to execute one or more instructions stored in a memory, to: obtain a surrounding image of the vehicle via at least one sensor, recognize an object from the obtained surrounding image, obtain three-dimensional (3D) coordinate information for the object by using the at least one sensor, determine a number of planar regions constituting the object, based on the 3D coordinate information corresponding to the object, determine whether the object is a real object, based on the number of planar regions constituting the object, and control a driving operation of the vehicle based on a result of the determining whether the object is the real object.

Various technologies described herein pertain to generating an occupancy grid movie for utilization in motion planning for the autonomous vehicle. The occupancy grid movie can be generated for a given time and can include time-stepped occupancy grids for future times that are at predefined time intervals from the given time. The time-stepped occupancy grids include cells corresponding to regions in an environment surrounding the autonomous vehicle. Probabilities can be assigned to the cells specifying likelihoods that the regions corresponding to the cells are occupied at the future times. Moreover, cached query objects that respectively specify indices of cells of a grid occupied by a representation of an autonomous vehicle at corresponding orientations are described herein. An occupancy grid for the environment surrounding the autonomous vehicle can be queried to determine whether cells of the occupancy grid are occupied utilizing a cached query object from the cache query objects.

A vehicle traveling from a first area to a second area includes a traveling mechanism having a plurality of wheels and a traveling function, and a control unit configured to cause the traveling mechanism to perform a wheel cleaning operation and then cause the vehicle to enter the second area.

A method for changing an orientation of a machine at a worksite includes controlling, by a controller, a movement of the machine from a first position to a second position along a first route; controlling, by the controller, a movement of the machine from the second position to a third position along a second route; and controlling, by the controller, a movement of the machine from the third position towards the first position along a third route, Each of the first route, the second route, and the third route define respective apexes and combinedly define a region therebetween. One or more of the apexes are directed inwards into the region.

A control device capable of improving the position accuracy of map data is disclosed. The control device is configured to acquire information which is output from a working machine which includes a working part and works along a boundary between a working area and a non-working area. The control device includes an operating state acquisition part configured to acquire information indicating an operating state of a machine body of the working machine; a judgment part configured to determine the operating state of the machine body, based on information acquired by the operating state acquisition part; a position information acquisition part configured to acquire position information indicating a position of the machine body; and a storage control part configured to store the position information acquired by the position information acquisition part in the storage, based on a determination result of the judgment part.

A method, apparatus, and system for estimating a moving speed of a detected pedestrian at an autonomous driving vehicle (ADV) is disclosed. A pedestrian is detected in a plurality of frames of point clouds generated by a LIDAR device installed at an autonomous driving vehicle (ADV). In each of at least two of the plurality of frames of point clouds, a minimum bounding box enclosing points corresponding to the pedestrian excluding points corresponding to limbs of the pedestrian is generated. A moving speed of the pedestrian is estimated based at least in part on the minimum bounding boxes across the at least two of the plurality of frames of point clouds. A trajectory for the ADV is planned based at least on the moving speed of the pedestrian. Thereafter, control signals are generated to drive the ADV based on the planned trajectory.

An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.

An apparatus comprises means for: obtaining a navigation path (2) between two locations (4, 6) which are separated by an obstacle (8), the navigation path (2) comprising an original vertex (10); modifying the navigation path (2) to comprise a displaced vertex (12), the displaced vertex (12) being displaced from the original vertex (10) in a direction away from a part of the obstacle (8) which is nearest to the original vertex (10); and smoothing a section of the navigation path (2) which passes via the displaced vertex (12). The smoothing of the section forms a curved path section (16) in the navigation path (2). The curved path section (16) comes no closer to the obstacle (8) than the original vertex (10).

A crane includes a crane body, a flying body, a route information acquisition unit that acquires route information in transporting a suspended load of the crane body via the flying body, and a support unit that performs steering support for performing a transport operation of the crane body along a movement route indicated by the route information.