Abstract: A control system an unmanned vehicle includes a first processing unit configured to execute a primary autopilot process for controlling the unmanned vehicle. The control system further includes a programmable logic array in operative communication with the first processing unit. The control system also includes a state machine configured in the programmable logic array. The state machine is configured to enable control of the unmanned vehicle according to a backup autopilot process in response to an invalid output of the first processing unit.

Abstract: A refuse vehicle comprising a chassis, a body assembly coupled to the chassis, the body assembly defining a refuse compartment, and a thermal event monitoring system including an air sampling line configured to capture air from the refuse compartment of the refuse vehicle and transport the air to a sensor positioned outside of the refuse compartment and a processing circuit operatively coupled to the sensor and configured to detect a thermal event indicating at least one of a fire or an overheating component based on a signal from the sensor.

Abstract: The present disclosure relates to a robot configured to determine a delivery priority among a plurality of destinations based on weight information of an article, and a delivery method using such a robot. The robot may communicate with other electronic devices and a server in a 5G communication environment.

Abstract: The technology relates to controlling a vehicle in an autonomous driving mode. For example, sensor data identifying a plurality of objects may be received. Pairs of objects of the plurality of objects may be identified. For each identified pair of objects of the plurality of objects, a similarity value which indicates whether the objects of that identified pair of objects can be responded to by the vehicle as a group may be determined. The objects of one of the identified pairs of objects may be clustered together based on the similarity score. The vehicle may be controlled in the autonomous mode by responding to each object in the cluster in a same way.

Abstract: A method of operating a vehicle comprising at least a first vehicle retarding subsystem controllable to retard the vehicle, and processing circuitry coupled to the at least first vehicle retarding subsystem, the method comprising the steps of: acquiring, by the processing circuitry from the first vehicle retarding subsystem, at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; and determining, by the processing circuitry, a measure indicative of a retardation energy capacity currently available for retardation of the vehicle, based on: the acquired at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; a predefined model of retardation energy accumulation by the first vehicle retarding subsystem; and a predefined limit indicative of a maximum allowed energy accumulation by the first vehicle retarding subsystem.

Abstract: A system for automatically performing an earthmoving operation may include a work vehicle having an implement that is articulable by the work vehicle over a stroke length, a user interface, and a controller communicatively coupled to the user interface. The controller may be configured to receive an operator input via the user interface associated with performing an earthmoving operation with the implement of the work vehicle according to one of a plurality of earthmoving styles. Additionally, the controller may be configured to control the operation of the work vehicle to perform the earthmoving operation with the implement within the worksite based at least in part on the one of the plurality of earthmoving styles.

Abstract: While a vehicle is in a minimal power state, a first sensor is activated based on a location of the vehicle within a monitored area. The vehicle is transitioned to an on state based on detecting an object via data from the first sensor. Then the vehicle is operated to block an exit from the monitored area based on identifying the object as an unauthorized object.

Abstract: An anti-collision control method and a rail vehicle control system are provided. The rail vehicle control system includes a control apparatus configured to implement the anti-collision control method to prevent a plurality of vehicles on a plurality of rails from colliding with each other. The anti-collision control method includes receiving a transfer requirement data to decide which one of the vehicles and which one of the rails are respectively an assigned vehicle and an assigned rail; planning a movement path and a movement space according to the transfer requirement data and a vehicle dimension data; determining whether any portion of the movement space is reserved; and in response to the movement space being reserved, the assigned vehicle is controlled to not move, or the movement space is reserved and the assigned vehicle is controlled to move according to the movement path along the assigned rail.

Abstract: An information processing apparatus disclosed has a controller configured to execute the processing of, when a first vehicle body unit on which a first vending machine is mounted is laid at a specific place, determining a time for maintenance defined as a time to perform maintenance of the first vending machine, and sending a replacement command to a chassis unit that is configured in such a way as to be capable of travelling autonomously and being coupled to and separated from a vehicle body unit, as per the time for maintenance. The replacement command is a command to transport a second vehicle body unit on which a second vending machine is mounted to the specific place and retrieve the first vehicle body unit from the specific place.

Abstract: A method and a system for vehicle steering control by controlling a feedback torque actuator (130) in series with an angle overlay actuator (140) in a vehicle steering system (100) to provide a target feedback torque and a target overlay angle. The feedback torque actuator (130) is arranged above the angle overlay actuator (140). The angle overlay actuator (140) is controlled so that a variable steering ratio and an additional overlay angle are provided, and the feedback torque actuator (130) is controlled using a reference generator so that the torque is controlled to provide a target steering feel, resulting in the angle overlay being controlled at the same time as the steering-wheel torque being controlled whereby a target overlay angle and a good steering feel are achieved.

Abstract: In one embodiment, a method includes determining a fleet-level objective for a vehicle associated with instructing the vehicle to travel a route according to route criteria based on the fleet-level objective. The method includes receiving a ride request from a ride requestor associated with ride criteria including a pick-up location and a drop-off location. The method includes determining that the ride requestor is a passenger for the vehicle to satisfy the fleet-level objective contingent on modifications to the ride criteria. The method includes providing incentives to the ride requestor contingent on acceptance of the modifications to the ride criteria. The method includes, after receiving the acceptance of the modifications to the ride criteria, modifying the ride criteria in accordance with the route criteria. The method includes instructing the vehicle to transport the ride requestor based on the modified ride criteria so as to fulfill the fleet-level objective.

Abstract: An example method involves detecting a sensor-testing trigger. Detecting the sensor-testing trigger may comprise determining that a vehicle is within a threshold distance to a target in an environment of the vehicle. The method also involves obtaining sensor data collected by a sensor of the vehicle after the detection of the sensor-testing trigger. The sensor data is indicative of a scan of a region of the environment that includes the target. The method also involves comparing the sensor data with previously-collected sensor data indicating detection of the target by one or more sensors during one or more previous scans of the environment. The method also involves generating performance metrics related to the sensor of the vehicle based on the comparison.

Abstract: Technologies are described for determining possible routes using pre-processing operations. The pre-processing operations determine possible routes from an origin location to a destination location by dynamically generating representations of the transportation networks at runtime. For example, the pre-processing operations can dynamically determine a geographic area, and/or multiple sub-areas, that covers the origin location and the destination location. Possible routes from the origin location to the destination location can then be determined using only those locations within the geographic area and/or sub-areas. The locations that make up the possible routes can be provided for route optimization that utilizes transportation schedules and/or additional transportation requirements.

Abstract: The present disclosure provides autonomous vehicle systems and methods that include or otherwise leverage a machine-learned yield model. In particular, the machine-learned yield model can be trained or otherwise configured to receive and process feature data descriptive of objects perceived by the autonomous vehicle and/or the surrounding environment and, in response to receipt of the feature data, provide yield decisions for the autonomous vehicle relative to the objects. For example, a yield decision for a first object can describe a yield behavior for the autonomous vehicle relative to the first object (e.g., yield to the first object or do not yield to the first object). Example objects include traffic signals, additional vehicles, or other objects. The motion of the autonomous vehicle can be controlled in accordance with the yield decisions provided by the machine-learned yield model.

Abstract: A navigation system for a host vehicle may include at least one processor programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle.

Abstract: An exemplary method generally involves determining a hazard parameter for a tracked vehicle including a ground interface assembly. The ground interface assembly generally includes a track and a drive wheel operable to move the track to thereby propel the tracked vehicle. A load sensor senses a load carried by the tracked vehicle, and a speed sensor senses a vehicle speed of the tracked vehicle. A control system in communication with the load sensor, the speed sensor, and a temperature sensor determines the hazard parameter based upon the load, the vehicle speed, and an ambient temperature in a vicinity of the tracked vehicle. The control system compares the hazard parameter to a threshold parameter, and performs an action based upon the comparison.

Abstract: The present disclosure relates to a controller for controlling operation of at least first and second traction machines in a vehicle. The controller includes a processor configured to predict an operating temperature of each of said at least first and second traction machines for at least a portion of a current route. The processor determines at least first and second torque requests for said at least first and second traction machines. The at least first and second torque requests are determined in dependence on the predicted operating temperatures of the at least first and second traction machines. The processor generates at least first and second traction motor control signals in dependence on the determined at least first and second torque requests. The present disclosure also relates to method of controlling at least first and second traction machines in a vehicle.

Abstract: This application relates to a technical field of cargo transportation and provides a method for controlling an intelligent pallet. The method includes: acquiring current shelf location information and performing movement according to the current shelf location information; acquiring cargo information and retrieving preset path information; acquiring weight information of current cargo and retrieving inclination angle threshold information; acquiring actual inclination angle information, and modifying the preset path information to generate updating path information by comparing the actual inclination angle information with the inclination angle threshold information; associating the updating path information with the cargo information and the cargo weight information and replacing the preset path information with the updating path information; and performing movement according to the updating path information. This application has an effect of improving the efficiency of cargo transportation.

Abstract: A system includes a processor configured to determine that a high-speed data transfer is desired for a vehicle. The processor is also configured to identify parking, within a predefined distance from a destination location, which overlaps with identified areas of high-speed coverage meeting a predefined speed and display visual indicators of the identified parking, when a vehicle is within a predefined distance from the identified parking.

Abstract: Provided is an autonomous ship navigation apparatus including an acquisition unit configured to acquire a surrounding environment image, marine information, and navigation information, a map generation unit configured to generate a grid map by displaying topography, a host ship, and an obstacle corresponding to the marine information and the navigation information in the surrounding environment image, and a sailing method determination unit configured to determine a sailing method of a ship through deep reinforcement learning based on the grid map, the marine information, and the navigation information.