Abstract: Examples described herein provide a method for limiting vehicle acceleration during turns for a vehicle. The method includes determining whether the vehicle is about to begin a turn before the vehicle begins the turn. The method further includes, responsive to determining that the vehicle is about to begin the turn before the vehicle begins the turn, calculating an acceleration limit for the vehicle during the turn based at least in part on map data associated with the turn. The method further includes controlling the vehicle during the turn based at least in part on the acceleration limit.

Abstract: A drunk driving prevention system includes a biometric authentication device that performs biometric authentication on a driver step-by-step at a request of startup of a vehicle, a drinking measurement device that measures a drunken state of the driver who completes the biometric authentication, a driver monitoring device that monitors a state of the driver in the vehicle while measuring the drunken state of the driver, and a controller that allows or blocks the startup of the vehicle based on the result of measuring the drunken state of the driver.

Abstract: Embodiments are disclosed of a data center including a plurality of computers. A communication interface is communicatively coupled to the plurality of computers and adapted to communicate, wirelessly or by wire, between the plurality of computers, a user device, and at least one autonomous driving vehicle (ADV) computer. Instructions are stored in the plurality of computers that cause one or more of the plurality of computers to receive a user computing request from the user device. The computers determine whether there is an available ADV computer to execute the user computing request. If there is an available ADV computer to execute the user computing request, the computers reconfigure the available ADV computer from autonomous driving mode to computing mode, and transmit the user computing request for execution by the ADV computer. If no ADV computer is available to execute the computing request, then the request is executed by one or more of the plurality of computers.

Abstract: Embodiments disclosed herein are directed to a system for controlling a vehicle through an intersection. The system includes a server-computing device, a sensing system, and an electronic control unit that has a processing device and a memory device that stores logic, when executed by the at least one processing device, causes the electronic control unit to produce a rumble strip haptic feedback at a first zone prior to the intersection, slow the vehicle down at a predetermined deceleration rate when the sensing system indicates a driver is not paying attention, autonomously navigate the intersection if the driver is determined to be paying attention in a second zone when the driver was not paying attention in the first zone, the second zone is prior to the intersection, and autonomously stop the vehicle when the driver was not paying attention in the second zone after not paying attention in the first zone.

Abstract: A method for training of machine learning processes, the method includes (a) obtaining, at a first computerized process, an identified signature, the identified signature identified at a second computerized process based on an overlap between a first top matching of signatures that are untagged and randomly obtained and a second top matching of signatures that are untagged and are correctly or erroneously indicative of a detection of a reference classification; and (b) training, by the first computerized process, a machine learning process using a training dataset of signatures and further based on the identified signature, to provide determinations for the reference classification with respect to an automated driving application.

Abstract: A state estimation system of a dump truck including an engine and a dump body that includes a flow path through which exhaust gas discharged from the engine flows and on which a load is loaded includes an exhaust gas flow rate acquisition unit that acquires an exhaust gas flow rate indicating detection data of a flow rate of the exhaust gas flowing into the flow path, an exhaust gas temperature acquisition unit that acquires an exhaust gas temperature indicating detection data of a temperature of the exhaust gas flowing into the flow path, and a body temperature estimation unit that estimates a body temperature indicating a temperature of a predetermined portion of an inner surface of the dump body in contact with the load on the basis of the exhaust gas flow rate and the exhaust gas temperature.

Abstract: A method of controlling a vehicle tailgate apparatus including a main frame configured to move between an open position and a closed position, a pair of doors pivotally connected to the main frame, a frame latch allowing the main frame to be locked to and unlocked from the vehicle body, a pair of lower latches allowing the pair of doors to be locked to and unlocked from the main frame, a spindle drive configured to move the main frame between the open and closed positions, and a frame open-close switch electrically connected to the frame latch and the spindle drive, including performing an unlocking operation of the frame latch when the frame latch is fully locked after the frame open-close switch is turned on, and allowing the spindle drive to be retracted to have the main frame in the open position.

Abstract: A car seat system for automatically displacing the movable components of the car seat. The car seat including sensors and a computing module to detect the measurements of a child placed in the car seat. The car seat system determines the current position of the movable components and displaces the movable components automatically based on the child's measurements or a desired amount. The car seat system automatically learns child's behaviors when the child is placed in the car seat. The car seat system learns schedules utilized by the child, routes taken by the driver of the car, and other data over a period of time. The behavioral, scheduling, routing, and other data obtained is stored by the car seat system and utilized to enhance the safety and comfortability of the child during a car ride.

Abstract: In one example, a wayside device monitoring system is provided. The system may include a wayside device and a controller. The wayside device may detect one or more operating parameters of a vehicle in a vehicle system moving over a route segment. The controller can receive information from the wayside device regarding at least the one or more operating parameters detected, and can control movement the vehicle directly or indirectly based at least in part on the received information.

Abstract: A system for controlling a watercraft includes a satellite positioning sensor, a remote sensor, and a controller. The satellite positioning sensor detects a position of a watercraft based on radio waves transmitted from a satellite. The remote sensor detects a position of a target object. When the satellite positioning sensor receives the radio waves transmitted from the satellite, the controller is configured or programmed to obtain the position of the watercraft detected by the satellite positioning sensor and execute a normal automated navigation such that the watercraft is moved along a predetermined navigation route. The controller is configured or programmed to obtain the position of the target object detected by the remote sensor during navigation of the watercraft, and execute a temporary automated navigation to move the watercraft toward the target object when the satellite positioning sensor is interrupted from receiving the radio waves transmitted from the satellite.

Abstract: The technology relates to generating simulations in order to evaluate software used to control vehicles in an autonomous driving mode. In one example, an initial situation involving a certain kind of interaction between a vehicle operating in the autonomous driving mode and an object may be identified. A search of log data may be conducted in order to identify one or more similar situations based on characteristics of the initial situation. A new simulation may be generated using the identified one or more similar situations by inserting the object into the one or more similar situations. The new simulation may be run in order to evaluate the software.

Abstract: An intelligent collaborative operation control strategy for an electro-hydraulic suspension system of a high-horsepower tractor is provided, including: S1, establishing an operation task database; S2, collecting information of the electro-hydraulic suspension system during an operation of the high-horsepower tractor in real time as real-time data; S3, preprocessing the real-time data; S4, analyzing a dataset and generating a preliminary control strategy for the electro-hydraulic suspension system based on parameters in the operation task database; S5, performing data interaction and collaborative control with operation units; S6, identifying deviations between operation status data and expected control parameters; S7, dynamically adjusting the preliminary control strategy.

Abstract: A method and a system for transmitting an enforceable instruction in a vehicle control system may include receiving a checksum contained in at least one enforceable instruction. Methods for checksum challenge mitigation in a vehicle control system and verifying enforceable instruction data on-board a vehicle are disclosed.

Abstract: Provided is a work vehicle such as a hydraulic shovel comprising a monitoring unit that monitors the surroundings of the work vehicle, and a display unit that displays an image acquired by the monitoring unit. The display unit has an image display area in which the image is displayed, and an alarm information display area in which alarm information indicating the presence of an obstacle is displayed when the monitoring unit detects the presence of the obstacle. In the display unit, the alarm information display area is located outside the image display area.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle modular command priority determination and filtering system. One of the methods includes enabling control of the UAV by a first control source that provides modular commands to the UAV, each modular command being a command associated with performance of one or more actions by the UAV. Modular commands from a second control source requesting control of the UAV are received. The second control source is determined to be in control of the UAV based on priority information associated with each control source. Control of the UAV is enabled by the second control source, and modular commands are implemented.

Abstract: An electric drive system for a vehicle includes first and second three-phase electric machines driving a vehicle axle and an electrical energy store electrically supplying the first and second three-phase electric machines during a driving operation of the vehicle. A first and second inverter of the first and second three-phase electric machines, respectively, are each coupled to the electrical energy store. The system also includes an onboard charging terminal for electrically coupling the electrical energy store to a charging unit external to the vehicle. According to the first and/or second inverter, a charging voltage of the onboard charging terminal is converted into a supply voltage for charging the electrical energy store.

Abstract: There is provided a technique for acquiring information on an obstacle regardless of whether an operation of avoiding the obstacle has been performed. An obstacle information acquisition system includes an image obtaining part that obtains a shot image of a road on which a vehicle is traveling; an image recognizing part that detects an obstacle on a road and a lane from the image; and an obstacle information acquiring part that acquires obstacle information in which a location of the obstacle is associated with the image, based on a passable width of a lane where the obstacle is located in the image.

Abstract: A stubble lean detection system for an agricultural harvester includes a controller having a memory and a processor. The controller is configured to receive a sensor signal indicative of an image of stubble within an agricultural field. The controller is also configured to determine whether an aggregate direction of lean of the stubble is forward, rearward, or mixed based on the image. Furthermore, the controller is configured to output an information signal to a user interface indicative of instructions to inform an operator of the aggregate direction of lean.

Abstract: The present disclosure relates to a computer-implemented method of testing an autonomy stack for an autonomous vehicle in a simulated environment. The computer-implemented method comprises: receiving a scenario, a non-ego agent, and an ego agent, the scenario representing a real-world environment, wherein the ego agent is controlled by the autonomy stack; running a simulation of the scenario including the ego agent and the non-ego agent; receiving, from a user input device, a control change input; switching control of the non-ego agent between the autonomy mode and the manual mode in response to receiving the control change input; recording a sequence of events involving the ego agent to form a report; and sending a signal including the report to a report log.

Abstract: The disclosure provides a system, and a method for quality estimation of a traffic congestion incident reported by traffic system based on the information from one or more probe vehicles. The system is configured to identify one or more road segments and location information associated with the traffic congestion incident reported by traffic system based on the information from the one or more probe vehicles. A probe-based space-time diagram is generated based on the identified one or more road segments and location information associated with the traffic congestion incident reported by traffic system based on the information from the one or more probe vehicles. Ground truth is inferred for the traffic congestion incident. The generated probe-based space-time diagram is compared with the inferred ground truth for quality estimation of the traffic congestion incident reported by traffic system based on the information from the one or more probe vehicles.