Abstract: This document discloses system, method, and computer program product embodiments for preparing a fleet of vehicles for service. For example, the method includes receiving: a set of mission types, a set of mission requests, vehicle information related to vehicles of a fleet, and personnel information. The method further includes applying the set of mission types and the set of mission requests to one or more priority engines to produce a prioritized list of mission requests. The method further includes applying the received vehicle information, the received personnel information, and the prioritized list of mission requests to one or more rules engines to produce a proposed schedule of missions for a period of time, generating software and/or map data for one or more of the vehicles, and providing the generated software and/or map data to the vehicles prior to the period of time.

Abstract: In a vehicle traveling remote control system, a remote control apparatus communicates with vehicles and periodically transmits a remote control value used to control traveling of each vehicle. The vehicle traveling remote control system includes a transmission control unit and a remote traveling control unit provided in each vehicle. The transmission control unit transmits to the remote control apparatus information including vehicle outside captured images generated by cameras mounted on the vehicle. The remote traveling control unit periodically executes traveling control of the vehicle based on remote control, with the remote control value.

Abstract: The present disclosure provides a system for automated goods transportation and related devices, capable of achieving fully automated goods transportation within a particular area. The system includes: a management system, a loading/unloading control device, and autonomous driving control devices provided on respective autonomous vehicles. The management system is configured to manage goods information and transportation statuses of the respective autonomous vehicles, generate transportation tasks based on the goods information and the transportation statuses of the respective autonomous vehicles, and transmit each of the transportation tasks to the autonomous driving control device of the matching autonomous vehicle. The autonomous driving control device on each of the autonomous vehicles is configured to control, the autonomous vehicle to complete transportation in accordance with the transportation task.

Abstract: Monitoring the brake performance of a brake system of a machine (vehicle 11) by determining a brake delay between input of a request for a brake engagement of the brake system and brake system effectuating the brake engagement. The brake delay determination provides for capturing delay produced by communication of the input from a brake input, actuation of an input to brake system performance, processing of operation of the brake system, and operation of the brake/retardation components of the brake system with respect to the machine's wheels. For autonomous machines, brake delay may be measured periodically and used in monitoring brake system performance.

Abstract: An approach for assisting users with disabilities in an emergency situation relating to a vehicle is disclosed. The approach determines the profile of the passenger in a vehicle by noting preferences and disabilities associated with the passenger. After a vehicle accident, the approach determines the condition of the vehicle and the condition of the passenger. Based on various information received, the approach creates an action list of solutions for the passenger, wherein the action list has assigned dynamic risk scores. The approach determines the best solution based on the risk scores and selects the best solution from the action list.

Abstract: The present invention suppresses the case where communication performed by a radio communication apparatus of one flight vehicle is negatively influenced in the case where the radio communication apparatus of the one flight vehicle is connected to a radio base station that is experiencing interference due to a radio communication apparatus of another flight vehicle. A distance specification unit specifies, for each airspace, a distance between a first flight vehicle and a second flight vehicle that has a radio communication apparatus and is located in a cell formed by a radio base station that is experiencing interference due to a radio communication apparatus of the first flight vehicle. An instruction unit instructs, in each airspace, the first flight vehicle and the second flight vehicle to maintain the distance specified for the airspace by the distance specification unit when flying.

Abstract: Methods and apparatus for controlling two or more vehicles travelling in formation. Selected vehicles may be fully or partially autonomously controlled; at least one vehicle is partially controlled by a human driver. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to create a shared world model. Aspects of the shared world model may be presented to the human driver, who may then respond with a control input. Autonomy systems and the drivers on the vehicles then collaborate to make a collective decision to act or not to act and execute any such action in a coordinated manner.

Abstract: A method, system, self-moving robot, and/or readable storage medium can be used to generate a virtual boundary of a working region for a self-moving robot. A mobile positioning module circles for a predetermined number of loops along a patrol path formed by the boundary of the working region to acquire recording points which are stored and then retrieved in groups to acquire boundary fitting points forming a boundary fitting point sequence, from which boundary points are acquired. Successively connecting the boundary points generates the virtual boundary of the working region.

Abstract: Responsive to a user request, a controller operates an engine of a vehicle while parked to charge a traction battery to a target state of charge that exceeds a maximum state of charge limit, used during drive of the vehicle by an electric machine, in advance of a predefined period of time.

Abstract: A method for transitioning a drive mode of a vehicle from an assisted drive mode (AS) to an automated drive mode (AD), the method including: providing an assisted drive mode (AS) configured to support a driver controlling the vehicle at a medium support level; receiving an activation request for activating an automated drive mode (AD) configured to control a driving of the vehicle autonomously; reducing a support level (SL) to a safe assisted drive mode (ADAS) configured to support the driver at a low support level, the reduction of the SL from the AS to the ADAS including a first kinematic feedback; and if the activation request is successful, increasing the SL from the ADAS to the AD, the increase of the SL from the ADAS to the AD including a second kinematic feedback to the driver; or if the activation request fails, maintaining the ADAS.

Abstract: Methods of determining relevance of objects that a vehicle detected are disclosed. A system will receive a data log of a run of the vehicle. The data log includes perception data captured by vehicle sensors during the run. The system will identify an interaction time, along with a look-ahead lane based on a lane in which the vehicle traveled during the run. The system will define a region of interest (ROI) that includes a lane segment within the look-ahead lane. The system will identify, from the perception data, objects that the vehicle detected within the ROI during the run. For each object, the system will determine a detectability value by measuring an amount of the object that the vehicle detected. The system will create a subset with only objects having at least a threshold detectability value, and it will classify any such object as a priority relevant object.

Abstract: Methods and apparatus for controlling two or more vehicles travelling in formation. Selected vehicles may be fully or partially autonomously controlled; at least one vehicle is partially controlled by a human driver. Information is collected at each vehicle and from the drivers and it is shared with other vehicles and drivers to create a shared world model. Aspects of the shared world model may be presented to the human driver, who may then respond with a control input. Autonomy systems and the drivers on the vehicles then collaborate to make a collective decision to act or not to act and execute any such action in a coordinated manner.

Abstract: A method includes obtaining sensor data associated with a target object at an ego vehicle, where the sensor data includes image data within an image frame. The method also includes identifying a first longitudinal distance of a first point of the target object from the ego vehicle within a world frame. The method further includes identifying a first lateral distance of the first point of the target object from the ego vehicle within the world frame using a first normalization ratio that is based on the image data. The method also includes predicting a future path of the target object based on the first longitudinal distance and the first lateral distance. In addition, the method includes controlling at least one operation of the ego vehicle based on the predicted future path of the target object.

Abstract: Examples described herein provide a computer-implemented method that includes receiving, by a processing device, a current state of a vehicle. The method further includes predicting, by the processing device using an output of an artificial intelligence model, a future state of the vehicle based at least in part on the current state of the vehicle. The method further includes calculating, by the processing device using a tunable reward function, a reward associated with the future state of the vehicle, the tunable reward function comprising multiple tunable coefficients. The method further includes training, by the processing device, the artificial intelligence model based at least in part on the reward.

Abstract: An automated driving system (ADS) includes an automation control module for controlling one or more driving functions of a vehicle, and a safety control module for determining one or more operating conditions relevant to the safety performance of the vehicle, such as driver awareness and processor temperature. The automation control module is configured to automatically adjust the speed of the vehicle based on the one or more operating conditions determined by the safety control module.

Abstract: In a vehicle in which a driving state is switchable between autonomous driving and manual driving, it is determined whether an occupant is applying makeup. When it is determined that the occupant is applying makeup at a time of switching of the driving state from autonomous driving to manual driving, a process of closing a lid of a mirror provided on a sun visor of the vehicle is performed as a makeup ending process of ending makeup by the occupant.