Abstract: A vehicle for interpreting a traffic scene is provided. The vehicle includes one or more sensors configured to capture an image of an external view of the vehicle, and a controller. The controller is configured to obtain the captured image of the external view of the vehicle from the one or more sensors, segment a plurality of instances from the captured image, determine relational information among the plurality of instances, and generate a hyper graph including a plurality of nodes representing the plurality of instances and a plurality of edges representing the relational information among the plurality of instances.

Abstract: Systems and methods are disclosed herein for controlling a work implement (e.g., front-mounted blade) relative to a work vehicle to produce a desired profile in a ground surface. Chassis-mounted sensor(s) detect an actual pitch velocity and an actual pitch angle of the chassis relative to the ground. Further sensor(s) detect an actual lift position of the blade relative to the chassis. A desired profile to be produced by the blade with respect to the ground surface is determined, for example via an automated grade control system, via manually-initiated trigger(s), and/or via time-based rolling averages of detected values. A position of the implement is automatically controlled as a function of each of the actual pitch velocity, the actual pitch angle of the chassis relative to the ground, and the actual lift position of the work implement relative to the chassis, corresponding to the desired profile with respect to the ground surface.

Abstract: Various technologies described herein pertain to causing presentation on a user interface of an immediate portion of a navigation route of an autonomous vehicle. A computing system of the autonomous vehicle determines whether an object detected by sensor(s) of the autonomous vehicle proximate to the immediate portion of the navigation route are of a type and relative position defined as one of consequential and inconsequential for a human passenger. In response to determining that an object has both a type and relative position defined as consequential, the computing system causes presentation on the user interface a representation of the object relative to the immediate portion of the navigation route to provide a confidence engendering indication that the autonomous vehicle has detected the object. Otherwise if inconsequential, presentation on the user interface of any representation of the object is not caused by the computing system to avoid creating a confusing presentation.

Abstract: Autonomous vehicles may utilize neural networks for image classification in order to navigate infrastructures and foreign environments, using context dependent transfer learning adaptation. Techniques include receiving a transferable output layer from the infrastructure, which is a model suitable for the infrastructure and the local environment. Sensor data from the autonomous vehicle may then be passed through the neural network and classified. The classified data can map to an output of the transferable output layer, allowing the autonomous vehicle to obtain particular outputs for particular context dependent inputs, without requiring further parameters within the neural network.

Abstract: A vehicle includes a light switch for manually operating a lighting state of a lighting device. The light switch includes a light-off position and an auto-light position for executing an auto-light process. A vehicle control system includes a first controller for executing an automated driving of the vehicle, and a second controller for controlling a lighting state of the lighting device based on a request from the first controller or operation information of the light switch. The first controller is configured to transmit an auto-light request for executing the auto-light process to the second controller during execution of the automated driving. The second controller is configured to execute the auto-light process when the auto-light request is received from the first controller in a state where the light switch is operated to the light-off position.

Abstract: Techniques for determining a safety area for a vehicle are discussed herein. In some cases, a first safety area can be based on a vehicle travelling through an environment and a second safety area can be based on a steering control or a velocity of the vehicle. A width of the safety areas can be updated based on a position of a bounding box associated with the vehicle. The position can be based on the vehicle traversing along a trajectory. Sensor data can be filtered based on the sensor data falling within the safety area(s).

Abstract: A method for controlling the motion of a mobile warning triangle for placement behind a stationary vehicle on a roadway acquires color information of the lane markings detected by a first sensor, a second sensor, and a third sensor of the mobile warning triangle. When the mobile warning triangle is placed on the roadway, the first to third sensors are preset in position to detect the lane markings and their colors. The white or yellow color information of the lane markings or of the black-colored roadway are detected or not detected on an individual basis by the sensors and deviations from a required path are recognized when different colors are received in certain combinations by the sensors. If no deviation is recognized in the colors, the mobile warning triangle is controlled to continue moving forward.

Abstract: Described herein are systems, methods, and computer readable media for capturing sensor data relating to an enclosed compartment of a vehicle (e.g., a cargo area of the vehicle) via one or more vehicle sensors; analyzing the sensor data to determine whether it is indicative of a living being present in the enclosed compartment; performing an object detection analysis on at least a portion of the sensor data to determine a type of living being detected; and initiating one or more automated vehicle response measures based on the type of living being.

Abstract: Provided are an electronic brake system and a method of operating the same, capable of performing a normal operation mode and an abnormal operation mode by including an integrated master cylinder configured to discharge a pressurizing medium according to a displacement of a brake pedal while providing a driver with a pedal fee, a liquid pressure supply device configured to generate a liquid pressure by operating a hydraulic piston according to an electrical being output on the basis of the displacement of the brake pedal, and a hydraulic control unit configured to a liquid pressure of a pressurizing medium to be supplied to each wheel cylinder.

Abstract: A management system includes a position detection unit which obtains a position of a work machine, a posture detection unit which obtains a posture of the work machine, an object detection unit which obtains a three-dimensional shape of a buried object, a position calculation unit which obtains a position of the buried object by using the position of the work machine obtained by the position detection unit, the posture of the work machine obtained by the posture detection unit, and the three-dimensional shape of the buried object obtained by the object detection unit, and an information acquisition unit which acquires buried object information including at least the position of the buried object obtained by the position calculation unit.

Abstract: An approach is provided for pattern-based map matching of a probe trace to a digital map. The approach involves querying the digital map for a set of road links within a threshold distance of a probe point. The approach also involves determining a match starting point for each road link of a set of road links. The approach further involves selecting a sampled probe point from the probe trace. The approach also involves generating one or more patterns for said each road link based on the match starting point, the sampled probe point, the topology polyline, or a combination thereof. The approach further involves selecting a matched road link from among the set of road links based on the one or more patterns. The probe point is then snapped to the matched road link.

Abstract: A system includes a processor and a memory storing instructions executable by the processor to control at least one of a steering system or a propulsion system to operate a vehicle at a speed below a speed threshold. The instructions include instructions to determine whether one or more second vehicles a first distance from the vehicle are traveling below the speed threshold. The instructions include instructions to, upon determining the second vehicles are traveling below the speed threshold, continue to control the steering system or the propulsion system. The instructions include instructions to, upon determining the second vehicles are not traveling below the speed threshold, transition control of the steering system or the propulsion system to a human operator of the vehicle.

Abstract: A driving risk assessment and control decision-making method for an autonomous vehicle includes: detecting the surrounding state of the vehicle multiple times to generate multiple sensing signals; quantifying the sensing signals to generate multiple sensing values and calculating a sensing average value of the sensing values; calculating a sensing error value between each sensing value and the sensing average value, a sensing error average value of sensing error values and a sensing error variation value; integrating the sensing error average value, the sensing error variation value and a sensor systematic error average value and a sensor systematic error variation value to generate a sensing signal correction value; combining the sensing values and the sensing signal correction value to generate multiple sensing signal reference values; judging whether a stability of the sensing signal reference values falls within a preset range; generating a control mechanism based on the judgement.

Abstract: A driving support apparatus (12) has: a setting device (122) for setting a first target position (31) on the basis of a first sign object (21), if the first sign object requesting a vehicle (1) to stop is detected; and a supporting device (123) for performing a first deceleration control for decelerating the vehicle to a first target speed before the vehicle reaches the first target position, if a second sign object (22) representing a stop position is detected during a period when the first decelerating control is performed, the setting device sets a second target position (32) on the basis of the second sign object and the supporting device performs a second decelerating control for decelerating the vehicle to a second target speed before the vehicle reaches the second target position.

Abstract: An agriculture support device includes a traveling creator to create a scheduled traveling route of an agricultural machine in an agricultural field, a display controller to display on an external terminal a virtual traveling status of the agricultural machine to travel on the scheduled traveling route created by the traveling creator, and a correction permitting controller to permit correction of the scheduled traveling route created by the traveling creator when the external terminal requests the correction. The display controller displays, on the external terminal, the virtual traveling status and a result traveling status of the agricultural machine that has traveled on the scheduled traveling route.

Abstract: The present disclosure relates to a vehicle and a parking control method therefor which can prevent a parking curb or a driving system from being damaged during parking due to collision with the parking curb or running over the parking curb according to creep torque imitation by an electric motor in a vehicle equipped with the electric motor. A parking control method includes determining whether a parking situation occurs, applying a creep torque modification coefficient to a creep torque until contact with an object that applies a reaction force to a wheel in a parking direction is sensed to determine a modified creep torque upon determining the parking situation, and variably controlling the creep torque by applying a variable coefficient to the modified creep torque.

Abstract: The present disclosure provides a device associated with a vehicle, the device including a set of sensors configured to generate a set of data associated with the vehicle; and one or more controllers configured to analyze the set of data to determine if an accident involving the vehicle has occurred, responsive to a determination that an accident involving the vehicle has occurred, determine an accident-severity score associated with the vehicle involved in the accident, the accident-severity score being based on a set of accident-severity scoring rules and at least a portion of the set of data, and transmit an output signal representative of the determined accident-severity score.

Abstract: A user destination is identified based on received location information from a user. A first seat in a vehicle is assigned to the user based on the user destination. At least one of the first seat and a second seat in the vehicle is moved upon user entry until a distance between the first seat and the second seat is greater than a distance threshold.

Abstract: A work vehicle includes: an electronic control system for automatic driving; and a cabin with which a boarding space is formed. The electronic control system includes an antenna unit for satellite navigation, and the antenna unit is attached to a central area of a roof of the cabin in a left-right direction. An upper surface of an area of the roof around the antenna unit is formed so as to be an inclined surface that is inclined in a front-rear direction. Left and right end portions of the roof are provided with left and right bulging edge portions that bulge upward from the left and right end portions and have a length that spans between front and rear ends of the roof, and water drain grooves that guide water on the roof toward the left and right bulging edge portions such that water detours the antenna unit.

Abstract: Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.