Abstract: In one embodiment, a computing system of a vehicle may access sensor data associated with a surrounding environment of a vehicle. The system may generate, based on the sensor data, a first trajectory having one or more first driving characteristics for navigating the vehicle in the surrounding environment. The system may generate a second trajectory having one or more second driving characteristics by modifying the one or more first driving characteristics of the first trajectory. The modifying may use adjustment parameters based on one or more human-driving characteristics of observed human-driven trajectories such that the one or more second driving characteristics satisfy a similarity threshold relative to the one or more human-driving characteristics. The system may determine, based on the second trajectory, vehicle operations to navigate the vehicle in the surrounding environment.

Abstract: This application relates to techniques for determining whether to engage an autonomous controller of a vehicle based on previously recorded data. A computing system may receive, from a vehicle computing system, data representative of a vehicle being operated in an environment, such as by an autonomous controller. The computing system may generate a simulation associated with the vehicle operation and configured to test an updated autonomous controller. The computing system may determine one or more first time periods associated with the vehicle operations that satisfy one or more conditions associated with engaging an autonomous controller and one or more second time periods associated with the vehicle operations that fail to satisfy the one or more conditions. The computing system may enable an engagement of the autonomous controller during the one or more first time periods and disable the engagement during the one or more second time periods.

Abstract: Provided is a control device of a working vehicle including a prime mover and a driving mechanism that drives an implement based on power of the prime mover, wherein the control device is configured to obtain a steering angle of the working vehicle, and detect switching between tasks performed by the working vehicle in a farm field, when the steering angle is equal to or greater than a predetermined angle indicating the switching between tasks.

Abstract: A vehicle control method, a vehicle control apparatus, an electronic device and a self-driving vehicle all relates to the field of self-driving and intelligent transportation technologies. The method includes: when a vehicle is moving, in a case that an occluding object is detected, determining a hard brake speed limit point and a potential collision point according to a planned path of the vehicle and position information of the occluding object; calculating a speed limit value of the hard brake speed limit point based on a distance between the hard brake speed limit point and the potential collision point; in a case that a planned speed of the vehicle at the hard brake speed limit point is less than or equal to the speed limit value, controlling the vehicle to move at the planned speed.

Abstract: Power machines with implement carriers that can sense the proximity of an implement to the implement carrier with a plurality of sensors. Such sensing is indicative of the likelihood of an implement being positioned adjacent to the implement carrier. In some embodiments, a sensor detects whether a locking mechanism is activated.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify a target vehicle in the environment of the host vehicle; predict a resulting distance between the host and target vehicles if the planned action were taken; determine a host vehicle stopping distance based on a braking rate, maximum acceleration capability, and current speed of the host vehicle; determine a target vehicle stopping distance based on a braking rate and current speed of the target vehicle; and continue with the planned navigational action while the predicted distance is greater than a minimum safe longitudinal distance calculated based on the host vehicle stopping distance and the target vehicle stopping distance.

Abstract: A compaction mitigation system for a work area and a method of mitigating compaction in a work area may include determining a compaction map of the work area having compaction data associated with a plurality of reference points, passing a work tool through the work area at the plurality of reference points, and adjusting the work tool at the plurality of reference points based on the compaction data.

Abstract: Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Abstract: Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Abstract: A driving system includes a vehicle computing device on a vehicle and a cloud computing device at a location physically separated from the vehicle. The vehicle computing device transmits navigation information to the cloud computing device, including destination information, location information of the vehicle, and high-definition map information regarding a surrounding environment of the vehicle. The cloud computing device generates, based on the navigation information, path information including primary path information and backup path information and transmits the path information to the vehicle computing device. The vehicle computing device controls a trajectory of the vehicle based on the received path information.

Abstract: The method comprises the steps of generating speed signals indicative of the angular speed of the wheels of said axle; generating an error signal indicative of the error or difference between a set point speed for the wheels, determined by means of a reference model, and the speed indicated by said speed signals; and generating a driving signal for torque-controlling apparatuses applied to the wheels of said axle, by adaptive filtering of an input signal which is a function of said set point speed, modifying parameters of the adaptive filtering as a function of said error signal, such as to make such speed error or difference tend to zero.

Abstract: Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Abstract: Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Abstract: Systems and methods for providing user control of alternate routes are provided. In example embodiments, a networked system receives a ride request from a user that indicates a drop-off location. The networked system identifies a current location of a user (e.g., a rider) and determines a plurality of routes from the current location of the user to a drop-off location. The plurality of routes is displayed on a user interface of a device of the user. In response, a selection of a route from the plurality of routes is received by the networked system. The networked system then causes presentation of a driving route corresponding to the selected route on a device of a driver and the device of the user.

Abstract: A vehicle includes a powerplant, such as an engine, configured to power front and rear wheels, and a controller. The controller is programmed to, brake a first of the front wheels and a first of the rear wheels while powering a second of the front wheels and a second of the rear wheels to warm those tires, and subsequently brake the second front wheel and the second rear wheel while powering the first front wheel and the first rear wheel to warm those tires.

Abstract: A method and a processor for controlling in-lane movement of a Self-Driving Vehicle (SDV) are provided. The method comprises: acquiring initial kinematic data associated with an obstacle; determining future kinematic data associated with the obstacle; acquiring initial kinematic data associated with the SDV; determining future kinematic data associated with the SDV which is indicative of at least two candidate future states of the SDV at a future moment in time; determining at least two candidate state-transition datasets for the SDV to transition from the initial state of the SDV to a respective one of the at least two candidate future states of the SDV using only in-lane movement; determining, by the electronic device, an energy efficiency score for a respective one of the at least two candidate state-transition datasets; determining a target state-transition dataset for the SDV based on respective energy efficiency scores.

Abstract: An autonomous vehicle uses machine learning based models to predict hidden context attributes associated with traffic entities. The system uses the hidden context to predict behavior of people near a vehicle in a way that more closely resembles how human drivers would judge the behavior. The system determines an activation threshold value for a braking system of the autonomous vehicle based on the hidden context. The system modifies a world model based on the hidden context predicted by the machine learning based model. The autonomous vehicle is safely navigated, such that the vehicle stays at least a threshold distance away from traffic entities.

Abstract: Systems and methods for characterizing a driving style of a human driver are presented. A system may include one or more sensors configured to collect information concerning driving characteristics associated with operation of a vehicle by a human; a memory containing computer-readable instructions for evaluating the information concerning driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human and for characterizing aspects of the driving style of the human based on the one or more patterns; and a processor configured to read the computer-readable instructions from the memory, evaluate the driving characteristics collected by the one or more sensors for one or more patterns correlatable with a driving style of the human, and characterize aspects of the driving style of the human based on the one or more patterns. Corresponding methods and non-transitory media are disclosed.

Abstract: Aspects of the disclosure include apparatus for and methods of facilitating transfer of objects using a crane. Disclosed apparatuses include a target tracking device mounted on or near a crane at a first location, and a target located near a landing location for the object. The target tracking device and the target facilitate real time determination of relative motion between the two locations. Methods of using the same are also disclosed.

Abstract: A differential pressure transducer provides measurements for determining the restriction, updated in real time, of an inlet barrier filter for a turboshaft engine of an aircraft. The percentage of restriction of the air inlet barrier filter, which corresponds to the condition of the air inlet barrier filter, is determined as a function of mass air flow into the engine during operation. The restriction percentage is indicated on the instrument panel of the rotorcraft.