Abstract: An obstruction avoidance system may include a agronomy vehicle, at least one sensor configured to output signals serving as a basis for a three-dimensional (3D) point cloud and to output signals corresponding to a two-dimensional (2D) image, and instructions to direct a processor to capture a particular 2D image and to obtain signals serving as a basis for a particular 3D point cloud; identify an obstruction candidate in the particular 2d image; correlate the obstruction candidate to a portion of the particular 3D point cloud to determine a value for a parameter of the obstruction candidate; classify the obstruction candidate as an obstruction based upon the parameter; and output control signals to alter a state of the agronomy vehicle in response to the obstruction candidate being classified as an obstruction.

Abstract: A technique for assessing a vehicle condition is provided that determines whether damage has occurred to the vehicle using electrical property data acquired by one or more electrical property detection systems disposed on one or more surfaces of the vehicles. The electrical property detection system include a conductive polymer material that changes in response to chemical deformations and/or mechanical deformations in the conductive polymer material, which may result from objects and/or other vehicles damaging the conductive polymer material. Based on the electrical property data, a control system may generate a damage assessment output, such as an alert for a vehicle owner.

Abstract: Various control systems and methods for a working machine such as a compactor are disclosed. The control system can include any one or combination of components including a controller in communication with at least a steering system and a position sensor. The controller can be configured to: receive position data from the position sensor including during operator implemented steering of the compactor, save the position data to a memory, determine from the position data saved in the memory a possible intent by an operator to create a compaction area, generate a prompt on an operator interface to confirm an actual intent of the operator, and generate a compaction plan for autonomously steering the compactor to compact in the compaction area. The compaction plan can be based at least partially upon the operator implemented steering of the compactor. The controller can implement the compaction plan via autonomous steering.

Abstract: The present invention provides a vehicle control device and a control method therefor. A vehicle control device according to one embodiment of the present invention comprises: an interface unit communicatively connected to a display unit provided in a vehicle; and a processor for controlling the display unit provided in the vehicle through the interface unit, wherein the processor receives destination information through the interface unit, acquires, from map information, spatial coordinates of a building corresponding to the destination information, and controls, on the basis of the spatial coordinates of the building corresponding to the destination information, the display unit so that a graphic object related to the destination information overlaps with the building and is displayed.

Abstract: The present disclosure discloses a method, apparatus, medium, and device for vehicle automatic navigation control.

Abstract: The technology involves communicating the reachability status associated with an autonomous vehicle to a user such as a rider within the vehicle, a person awaiting pickup, or a customer that scheduled a package deliver. Reachability information about pickup and/or drop off locations is presentable via an app on a user device, which helps set expectations with customers about where the vehicle is most likely to be able to perform a pickup and/or drop off. This may include indicating how much variance there may be based on current congestion, parking or idling regulations, or weather conditions. The reachability information may be presented via one or more visualization tools to indicate the uncertainty and/or likely final location. Presenting such contextual information may be done based on real time information, and the presentation may be updated as needed. Historical information about the location may also be used to lower the level of uncertainty.

Abstract: An embodiment controller for use in a communication system for platooning vehicles that performs Vehicle-to-Vehicle (V2V) communication through controllers mounted in the platooning vehicles includes a communication unit configured to transmit and receive a message including control and sensor information of the platooning vehicles, a scheduler configured to store message transmission times of the platooning vehicles, and a determiner configured to determine whether a message received through the communication unit corresponds to schedule information stored in the scheduler, wherein the controller is configured to transmit a message in accordance with an order determined based on the schedule information and find out a message transmission order of the platooning vehicles by sharing the schedule information.

Abstract: A movement control system includes: a moving object; a first control device capable of communicating with the moving object; and a second control device configured to relay the communication between the moving object and the first control device. When communication between the first control device and the second control device is not restricted, the first control device performs first automatic movement control on the moving object via the second control device, and when the communication between the first control device and the second control device is restricted, the second control device performs second automatic movement control on the moving object. The first automatic movement control has fewer tasks assigned to a user of the moving object than the second automatic movement control.

Abstract: A method is disclosed for checking detected changes to an environmental model of a digital area map. According to the method, a first vehicle with one or more sensors detects an environmental change from an environmental model of a digital area map. Data are transferred from the first vehicle to a central server, wherein the data include information on the detected environmental change, position data of the detected environmental change, as well as information using which the sensor quality of the one or more sensors can be detected. Depending on the sensor quality of the one or more sensors, the central server performs a plausibility check of the detected environmental change using data that are detected by one or more sensors of an additional vehicle.

Abstract: The disclosure provides a method and system for multi-robot route planning. The method includes determining a route plan of a node based on an order value associated with the node, wherein the order value is distance travelled from the node to one or more nodes in a network, occupying an order slot from a list of orders of the node. The determined route plan of the node is sent to the one or more nodes in the network and a new route plan is generated, based on order value threshold and wait time estimate associated with the node. The method includes optimizing the generated new route plan of the node comprising computing a new order value occupying a new order slot from the list of orders of the node in parallel to change in status of order value of the one or more nodes.

Abstract: An apparatus for managing agricultural crops includes a vehicle and a user interface. The vehicle includes a navigation system, one or more vision systems, one or more removal tools, and a control system. The control system can include a data processing system, a data storage system, and a targeting system. The apparatus can be used to carry out one or more methods for managing agricultural crops, such as, for example, utilizing the vision system to capture images of an item to be targeted for removal by the removal tool, and utilizing the control system to process the images and position the removal tool to remove the item.

Abstract: A system and a method to optimize route plans for handling critical scenarios faced in an operating environment have been described. The system or a platform resolves one or more nodes based on the inputs related to an operating environment. The system plans one or more routes based on the resolved nodes to provide generated route plans. Based on the planning, the system may analyze one or more route plans for critical scenarios, for example, avoiding a collision or minimizing congestion, damage to the robot, performance of vehicle or warehouse, etc. After the route plans are analyzed, the system optimizes one or more route plans to provide optimized route plans. The optimized route plans are distributed to one or more autonomous vehicles. The fleet of autonomous vehicles may then route progress messages and share feedback with the platform.

Abstract: A brake control system to be installed on a railroad car, the system including: a brake command unit that outputs a first brake command by a first communication method and outputs a second brake command by a second communication method, the first brake command indicating details of control of a brake, the second brake command restricting details of control of the brake; and a brake control unit that acquires the first brake command by the first communication method via a train control and monitoring system, acquires the second brake command by the second communication method, and controls the brake based on the first brake command and the second brake command.

Abstract: Systems and methods for determining and using deviations from driver-specific vehicle performance expectations for a particular vehicle operator are disclosed. Exemplary implementations may obtain trip information or service information that include values for driver performance metrics pertaining to a particular vehicle operator; determine the driver-specific performance expectations by aggregating information included in the obtained trip information; determine particular metric values for a current trip; compare the determined driver-specific performance expectations with the particular metric values for the current trip; determine deviations based on the comparisons; determine whether to recommend an action based on the deviations; and generate and/or provide one or more notifications to at least one of the particular vehicle operator, a stakeholder of the fleet of vehicles, and a remote computing server.

Abstract: An apparatus with display control includes: an input part configured to receive position information of an in-vehicle device; a memory in which a program that implements display position control according to the position information is stored; and a processor configured to adjust a display position of information displayed on a display in a vehicle, according to the position information, by executing the program.

Abstract: A mobile object control system includes: a storage device configured to store a instructions; and one or more processors, wherein the one or more processors execute the instructions stored in the storage device to: determining whether a roadway is a pedestrian road in which passage of vehicles is restricted; expanding a movable area in which the mobile object can move in a width direction of the roadway when it is determined that the roadway is the pedestrian road; and controlling the mobile object based on the movable area.

Abstract: Systems and methods for a computer-based process that optimizes vehicle fleet charging systems. Failed chargers are detected and optimal paths are determined between these failed chargers and available chargers. Upon determining the optimal path, instructions to route the vehicle from the failed chargers to available chargers via these shortest paths are then communicated.

Abstract: An autonomous vehicle may include an autonomous driving control apparatus having a processor that transmits vehicle data and a vehicle path for remote control of the autonomous vehicle to a control system when the remote control of the autonomous vehicle is required, and performs following and control based on adjusted path information when receiving the adjusted path information from the control system.

Abstract: Techniques are disclosed for systems and methods for surface detection and fleet vehicle control. A method for controlling operations for a plurality of fleet vehicles, the method includes receiving, by a fleet vehicle of the plurality of fleet vehicles using camera-sensor fusion module, first image data of an operational surface in a field of view of the camera-sensor fusion module and inertial data of the fleet vehicle, determining, by the fleet vehicle using a fusion algorithm based on a neural network model, a surface classification of the operational surface based on the first image data and the inertial data, determining an operational parameter for the fleet vehicle based, at least in part, on the surface classification, and controlling an operation of the fleet vehicle based, at least in part, on the operational parameter.

Abstract: A method for warning a driver of a vehicle (1), in particular a truck, in turn maneuvers includes the following steps: generating (S1) an adaptive monitoring area (2) for the vehicle (1) based on at least a maximum lateral acceleration (4) of the vehicle (1) at a current longitudinal velocity (6) of the vehicle (1); identifying (S2) a vulnerable road user (VRU) (8) within the adaptive monitoring area (2); determining (S3, S4) a driver's intention to turn (40) the vehicle (1); determining S5) whether there is a collision risk between the vehicle (1) and the VRU (8); and outputting a warning signal (SW) based on the determined collision risk.