Abstract: A retrofittable remote control system is provided for enabling remote controlling of an on-board component of machine that is inherently incapable of being remote controlled. An interface control module is retrofitted on machine and is configured to communicate with off-board remote control over wireless communication channel. The interface control module detects presence of an on-board control module that communicates with the on-board component over a digital communication channel. The interface control module is configured to then establish either a digital communication link with the on-board control module or a direct Input/Output (I/O) communication link with the on-board component of the machine based on the detection. The interface control module is configured to send a control signal over either the direct I/O communication link or the digital communication channel via the detected on-board control module, for controlling the on-board component.

Abstract: A ride service system will determine a stopping location for an autonomous vehicle (AV) before the AV picks up a passenger in response to a ride service request. The system will determine a pickup area for the request, along with a loading point within a pickup area, and the AV will navigate along the route toward the pickup area. Before the AV reaches the pickup area, the system will determine whether it received a departure confirmation indicating that the passenger is at the loading point. If the system received the departure confirmation, the AV will navigate into the pickup area and stop at the loading point; otherwise, the AV will either (a) navigate to an intermediate stopping location before reaching the pickup area or (b) pass through the pickup area.

Abstract: A device and a method for displaying vehicle surroundings in a vehicle during an instantaneous second time point are provided. The method includes providing a first blind area image that contains an image synthesis of a blind area of the vehicle surroundings at a first time point preceding the second time point, arranging each first blind area pixel of the blind area in a new position estimated for the second time point, determining whether the new position of each first blind area pixel at the second time point still lies within the blind area, and producing a respective second blind area pixel for the second time point by synthesizing each first blind area pixel on the basis of motion data of the vehicle if the new position is determined to lie within the blind area.

Abstract: Systems and methods for determining the drivable space of a road, for applications such as autonomous navigation. To determine the non-drivable space under another vehicle, systems and methods of embodiments of the disclosure generate 3D bounding boxes from 2D bounding boxes of objects in captured roadway images, and from various geometric constraints. Image portions may be labeled as drivable or non-drivable according to projections of these 3D bounding boxes onto their road surfaces. These labeled images, along with accompanying semantic information, may be compiled to form training datasets for a machine learning model such as a CNN. The training datasets may train the CNN to classify input image portions into drivable and non-drivable space, for applications such as autonomous navigation.

Abstract: A battery diagnostic device for diagnosing a state of a battery mounted on a vehicle includes: an acquisition unit that acquires a physical quantity indicating the state of the battery; a setting unit that sets one diagnostic model from two or more diagnostic models based on the physical quantity acquired by the acquisition unit; and an estimation unit that estimates a deterioration state of the battery based on the one diagnostic model set by the setting unit.

Abstract: A service management device manages a service delivered in a predetermined area. The service management device has an operator interface including a display that displays information for an operator and receiving an input from the operator. The service management device communicates with an autonomous robot used for delivering the service in the predetermined area to acquire, from the autonomous robot, service robot information indicating at least a position and a status of the autonomous robot. The service management device displays a map of the predetermined area and the position of the autonomous robot on the display, based on the service robot information. When the autonomous robot displayed on the display is specified by the operator through the operator interface, the service management device displays a status window indicating the status of the autonomous robot specified by the operator on the display, based on the service robot information.

Abstract: This specification describes systems for unmanned vehicle carrying and deployment. In some examples, a system includes a deployable robot including at least one rotatable flipper disposed on a surface of the deployable robot. The system includes a base unmanned vehicle configured for carrying and deploying the deployable robot. The base unmanned vehicle includes a base robot chassis, and the base robot chassis includes a platform for securing the deployable robot and at least one retention bracket disposed on the platform. The flipper is configured to rotate in a first rotational direction to lock the deployable robot onto the base robot chassis by engaging with the retention bracket.

Abstract: A control device acquires position information of an unmanned machine subject to control, and position information of an unmanned machine not subject to control; attempts to detect a target object, using a sensor signal from a sensor mounted in at least one of the unmanned machines; calculates a presence probability distribution of the target object based on information on a position and a time at which detection of the target object is successful; determines a formation of the unmanned machines based on the presence probability distribution of the target object; calculates an operation amount of the unmanned machine subject to control, based on the formation; and performs operation setting on the unmanned machine subject to control, according to the calculated operation amount.