Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: A method for identifying faulty components of a fuel injection system is disclosed, wherein a secondary injection is performed individually by each injector during a test routine, after the secondary injection several predefined parameters of the fuel injection system are determined, and a combined assessment of the determined parameters is used to draw conclusions about whether or not components of the fuel injection system are faulty.

Abstract: The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.

Abstract: A metric priority is accessed, which identifies a priority of a plurality of different control metrics that are used in controlling an agricultural implement. Control signals are generated to control the implement to bring the metrics within corresponding predefined ranges in descending order of priority.

Abstract: A work vehicle coordination system includes a traveling work parameter setting section (41) included in each work vehicle for setting a traveling work parameter to define a traveling work of each work vehicle, a communication processing section (71, 72) for effecting data communication between/among the plurality of work vehicles, a traveling work parameter acquisition section (42) for acquiring the traveling work parameter set in each work vehicle, a difference data generation section (43) for generating difference data indicative of a difference between/among the traveling work parameters set in the respective work vehicles, and an informing section (56) for informing the difference data.

Abstract: An inertia-based navigation apparatus and an inertia-based navigation method based on relative preintegration are provided. The inertia-based navigation apparatus includes: a first sensor detecting and outputting motion information about a moving body which is moving, based on a first coordinate system; a second sensor detecting and outputting inertia data about a translational acceleration and a rotational angular velocity related to the movement of the moving body, based on a second coordinate system; and a controller determining, at every first time, pose information about a position, a velocity and an attitude of the moving body in a reference coordinate system, based on the motion information and the inertia data.

Abstract: A system may include a vehicle having a storage area and a guide rail configured to extend from the storage area. The system may further include a robot having a support portion comprising a placement surface and a base. The robot may also include a plurality of descendible wheels. The robot may also further include a plurality of legs, each connecting the support portion to one of the plurality of descendible wheels.

Abstract: According to one embodiment, an ADV is controlled according to a first trajectory planned during a first planning cycle. A control error is determined which represents a drifting error at a first location of the ADV at a first point in time at the end of the first planning cycle. A second point in time is selected on the first trajectory. A second trajectory is generated from a second location on the first trajectory corresponding o the second point in time as a starting location of the second trajectory for a second planning cycle as a next planning cycle. A segment of the first trajectory between the first point in time and the second point in time is combined with the second trajectory to generate a third trajectory for the second planning cycle. The ADV is driven and controlled according to the third trajectory corresponding to the second planning cycle.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: A driving behaviour monitoring device having a data processor and a geographic positioning module in which the processor will make a determination, based on monitored driving behaviour, whether a vehicle is likely to have been involved in an accident, and record a geographical location associated with the data, and to further determine whether the device has changed its geographical position by more than a predetermined distance within a predetermined time. Driving data collected may also be used to calculate or adjust insurance premiums and/or to provide safety feedback.

Abstract: Techniques for providing instructions to an operator of a sea vessel via a computing device are described. The computing device can request, from another computing device, instructions regarding one or more of an intended course and action plan for the sea vessel, which can include at least one navigational instruction and/or deployment instruction. The computing device can send data to a display device to cause a prompt to be displayed. The prompt can include options regarding the at least one instruction. The computing device can send state information of the sea vessel to the other computing device. The state information can include the received input and location information of the sea vessel. Additionally, data can be received by the computing device from a shore based operator and data can be sent to one or more clients on shore.

Abstract: A computer-readable storage medium encoded with a data structure for describing a map of a facility having venue elements is provided. Each venue element has at least one map, structural metadata and a plurality of walkable areas. A method of providing navigation instructions is also provided. The method includes providing a facility map, determining a destination on the facility map, selecting a path type, determining a target route between a current location and the destination, the target route being associated with the path type, and determining a navigation instruction along the target route.

Abstract: Disclosed are a system and method for remotely controlling and monitoring a vehicle based on the IoT. A system for remotely controlling and monitoring a vehicle based on an IoT includes a communication unit configured to receive a remote control signal and an event signal and transmit monitoring information, a gear mode sensing unit configured to sense a gear mode, a control unit configured to generate a start-up control signal for a vehicle in response to the remote control signal or the event signal, output or stop a start-up control signal in response to a gear mode, output a monitoring signal when start-up is performed, perform transmission control through the communication unit by generating the monitoring information, generate and output an associated vehicle control signal in response to an event, and a start-up device configured to be turned on in response to the start-up control signal.

Abstract: Systems and methods for barrier detection using birds-eye-view maps of lidar data. Some implementations may include receiving lidar data from a lidar sensor; determining, based on the lidar data, a birds-eye-view map of one or more objects that are reflected in the lidar data; and inputting the birds-eye-view map to a machine learning system to obtain a classified map wherein the one or more objects are labeled with respective classifications from a set of classes including a dynamic class and static class.

Abstract: An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to users of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect users of the vehicle based on the objects detected in the video frames, determine a comfort profile for the users and select a reaction to adjust vehicle components according to the comfort profile of the detected users. The comfort profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users.

Abstract: A fuel consumption prediction method and apparatus is provided. A respective historic fuel consumption is extracted from historic travel data for at least one historic travel path of a vehicle. At least one historic fuel-related quantity influencing the respective historic fuel consumption is extracted from the historic travel data for each historic travel path. Model parameters of a machine learning model for predicting fuel consumption is adjusted based on the extracted respective historic fuel consumption and the at least one historic fuel-related quantity for each historic travel path. The fuel consumption for a planned trip is predicted using the machine learning model with the adjusted model parameters.

Abstract: Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle, in particular, an intersection without traffic signals and without a sufficient merge lane. A database that represents the road network is used to determine locations where roads meet without a traffic signal and without a sufficient merge lane. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken about the location of the insufficient merge lane. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching a location of an insufficient merge lane.

Abstract: The present disclosure relates to positioning technology, and particularly to a positioning method a positioning device, and a robot. In which, the method includes: obtaining first location information of the target object at a current moment being predicted by an extended Kalman filter model at a last moment; obtaining second location information of the target object at the current moment being collected by a sensor; predicting third location information of the target object at the current moment through the extended Kalman filter model based on the first location information and the second location information; and determining an error value of the third location information under a preset constraint condition, and correcting the third location information according, to the error value to obtain final location information of the target object at the current moment.

Abstract: At a time when it is possible for a user's own vehicle to pull out from a parking space, an assist control unit of a parking exit assist device terminates an assist control in the event that the user's own vehicle has traveled forward by a predetermined distance (a minimum forward distance) from a predetermined position (a most recent intermediate position or an assist starting position).

Abstract: A system and method that function to generate an updated vehicle state based on a previous vehicle state and a set of sensor measurements. The previous vehicle state can be selected from a set of redundant prior vehicle state candidates. The system and method can optionally detect and correct for sensor measurement faults or failures, prior to updating the vehicle state.