Abstract: A system and method examine positional data signals onboard a vehicle to identify one or more variations in positioning data of the positional data signals. The system and method identify inaccurate positioning data in the positional data signals based on the one or more variations in the positioning data that are identified.

Abstract: The technology relates to localizing a vehicle. As one approach, a first LIDAR sensor scan data of an environment of the vehicle and localization data for the vehicle at a location where the first LIDAR sensor scan was captured are stored. Thereafter, the computing device is suspended and subsequently unsuspended. After the computing device is unsuspended, second LIDAR sensor scan data of the vehicle's environment is received. The first LIDAR sensor scan data is compared to the second LIDAR sensor scan data to determine whether the vehicle has moved. Based on the determination of whether the vehicle has moved from the location, the stored localization data is used to localize the vehicle. Other approaches are also described.

Abstract: Systems and methods for extrinsic calibration of vehicle-mounted sensors are provided. One example method involves obtaining first sensor data collected by a first sensor and a second sensor while a vehicle is aligned in a first yaw direction. The method also involves obtaining second sensor data collected by the first sensor and the second sensor while the vehicle is aligned in a second yaw direction. The method also involves determining, based on the first sensor data and the second sensor data, (i) first pitch and roll misalignments of the first sensor relative to the vehicle and (ii) second pitch and roll misalignments of the second sensor relative to the first sensor. The method also involves determining third pitch and roll misalignments of the second sensor relative to the vehicle based on (i) the first pitch and roll misalignments and (ii) the second pitch and roll misalignments.

Abstract: An inertia braking test system and a control method is provided, wherein the inertia braking test system is composed of an inertia brake test system, a sensor system and a tested object. An actuating device is connected with the inertia brake control device through a ball stud. The actuation function of the inertia brake control device with two degrees of freedom along the front-and-rear direction and the up-and-down direction of the vehicle is realized. The movable chassis realizes the mobile function of the system. The acceleration sensor can sense the acceleration of the movable chassis. Each force is tested by the first force sensor, the second force sensor and the third force sensor. The displacement data is measured by the first displacement sensor and the second displacement sensor, so that a movable brake system test is achieved.

Abstract: A self-learning method for an obstacle and a self-learning method for a new obstacle are provided. With the self-learning method, in step 1, data of a grid map in a movement region is acquired, and each of grids of the grid map is marked as not being traversed. In step 2, a starting grid of the grid map is set, data of the starting grid is pushed into a stack, a movement unit is controlled to move to the starting grid, and the starting grid is remarked as being traversed. In step 3, the movement unit is controlled to traverse the grid map, and boundary data of the obstacle is acquired based on marks of the grids in the grid map. In step 4, boundary data of the obstacle is stored.

Abstract: According to one embodiment a shopping cart includes an imaging unit configured to acquire images of a surface at a location of the shopping cart and a controller. The controller is configured to detect a boundary pattern in images acquired by the imaging unit. The boundary pattern is painted or drawn on the surface at a boundary between a first area and a second area. Based on the detected boundary pattern the controller determines whether the shopping cart has been moved from the first area to the second area or from the second area to the first area. The controller then controls mobility of the shopping cart based on whether the shopping cart has been moved from the first area to the second area or from the second area to the first area.

Abstract: A vehicle controller for automated driving control of a vehicle in traffic congestion includes a processor configured to sense at least one another vehicle around the vehicle, based on a sensor signal obtained by a sensor for sensing a situation around the vehicle, the sensor being mounted on the vehicle; calculate a motion value indicating motion of the sensed at least one other vehicle; determine, when the motion value satisfies a congestion relief condition, that congestion is relieved around the vehicle; and set the congestion relief condition, based on road environment information indicating environment of a road around the vehicle.

Abstract: A movement control method, an electronic device, and a computer storage medium are provided. The method includes: acquiring a first polygonal grid map corresponding to a target work region, determining an avoidance subregion non-traversable for the autonomous mobile mowing apparatus in the target work region according to three-dimensional information of each of polygonal planes in a first polygonal grid map and parameters of an autonomous mobile mowing apparatus; deleting a polygonal plane corresponding to the avoidance subregion from the first polygonal grid map to obtain a second polygonal grid map; and controlling the autonomous mobile mowing apparatus to move according to a second polygonal grid map. Based on the method, the region non-traversable for the autonomous mobile mowing apparatus can be avoided, thereby avoiding a danger caused by an abnormal handling behavior triggered by the autonomous mobile mowing apparatus, and improving safety of movement of the autonomous mobile mowing apparatus.

Abstract: Novel tools and techniques might provide for implementing Internet of Things (“IoT”) functionality, and, in particular embodiments, implementing added services for OBD2 connection for IoT-capable vehicles. In various embodiments, a portable device (when connected to an OBD2 DLC port of a vehicle) might monitor wireless communications between a vehicle computing system(s) and an external device(s), might monitor vehicle sensor data from vehicular sensors tracking operational conditions of the vehicle, and might monitor operator input sensor data from operator input sensors tracking input by a vehicle operator. The portable device (or a server) might analyze either the monitored wireless communications or a combination of the monitored vehicle sensor data and the monitored operator input sensor data, to determine whether vehicle operation has been compromised.

Abstract: Diverse types of crew interfaces (400, 430, 450) are provided for outputting visible, audio and tactile information to a pilot for flight control. A unified estimation of the current aircraft state and of a current phase of flight are made (110), based on flight status information. Respective coordinated visible, audio and tactile presentations for the diverse types of crew interfaces are generated, (120) coordinated so that they provide mutually consistent indications of the unified estimation of the current aircraft state, according to the unified estimation of current flight phase. The respective coordinated presentations are output (130) by the diverse types of crew interfaces to the pilot. By coordinating crew interface outputs across sight, sound and touch senses, this can relieve the pilot of workload in interpreting unsynchronised or incoherent outputs from different types of interfaces.

Abstract: To reduce the effects of traffic jams, a traffic reduction system identifies road segments having more a threshold amount of traffic. The traffic reduction system also receives an indication of a current location of a client device operating in a vehicle and compares the current location to the locations of the identified road segments to determine whether the vehicle is on or approaching the road segment. If the vehicle is on or approaching the road segment, the traffic reduction system determines a target speed for the vehicle to maintain an equal distance between the vehicle and the vehicle in front of the vehicle and the vehicle and the vehicle behind the vehicle. The traffic reduction system then provides the target speed to the client device for display on a user interface. By maintaining equal distances between vehicles in front of and behind each other, the amount of traffic dissipates.

Abstract: A method and device of multi-train operation trend deduction. Temporary speed limit information, scheduling information, line information and train status information are obtained; the coupling relationship between the trains traction calculation and the area of space-time scope which is under temporary speed limit are analyzed, and the time saving driving strategy of the first train within the time domain is calculated; according to the running position and speed of the front train, a multi-train operation tracking model under different block systems is established; according to the temporary speed limit information, the driving strategy of following tracking train is deduced, and the operation of the multi-train is calculated; the operation trend of multi-train to the driving scheduling platform is sent.

Abstract: A vehicle comprising includes a traction battery and a controller. The controller, responsive to an interval exceeding a predefined threshold and a predicted net loss in energy, charges the traction battery such that the traction battery acquires energy in an amount at least equal to the predicted net loss in energy. The interval defines a confidence level that a predicted net change in energy stored by the traction battery will occur as a result of use of the vehicle between a current charge location of the vehicle and a next charge location of the vehicle. The amount is based on the interval such that the amount increases as the interval decreases.

Abstract: A device for avoiding a potential conflict detected in a predetermined trajectory prediction horizon between a first trajectory of a first ship or aircraft and a second trajectory of a second ship or aircraft is disclosed. Each trajectory includes a plurality of segments formed between multiple navigation points. The device includes a determination unit for determining at least one lateral peripheral envelope of the first trajectory, a division unit for dividing the lateral peripheral envelope into a plurality of juxtaposed sections arranged longitudinally the ones after the others and delimited by transition lines marking the change between sections, each transition line cutting, at a first point of intersection, a segment of the first trajectory and, at a second point of intersection, and an edge of the lateral peripheral envelope, a discretisation unit, and a computing unit.

Abstract: A vehicle control apparatus configured to control a driving motor coupled to at least one wheel includes a motor controller, a vehicle speed calculator, and a vehicle speed setter. The motor controller controls the driving motor in a constant speed driving mode. The vehicle speed calculator calculates a first vehicle speed based on a rotation angle of the driving motor. The vehicle speed setter sets, as a driving speed in the constant speed driving mode, a second vehicle speed based on the first vehicle speed and a brake operation amount. The vehicle speed setter sets zero as the second vehicle speed when the brake operation amount exceeds its threshold and the first vehicle speed falls below its threshold, and sets the first vehicle speed as the second vehicle speed when the brake operation amount does not exceed its threshold r the first vehicle speed does not fall below its.

Abstract: Apparatuses, methods and storage medium associated with traffic sign recognition, are disclosed herein. In some embodiments, an apparatus includes an orchestrator, disposed in a CA/AD vehicle, to receive a classification and a location of a traffic sign, while the CA/AD vehicle is enroute to a destination. In response, the orchestrator query a remote sign locator service or a local database on the CA/AD vehicle for a reference description of the traffic sign, determine whether the classification is correct, and output a result of the determination. The classification of the traffic sign is generated based at least in part on computer vision, and the orchestrator includes an anomaly detector to detect anomalies between the classification and the reference description, and determine whether the classification is correct based at least in part on an amount of anomalies detected. Other embodiments are also described and claimed.

Abstract: Continued and precise operation of an agricultural implement exists even where a subsystem, such as a GPS receiver, wireless communicator, a sensor, or the like, fails, falters, or is otherwise unusable. Data is continually tracked to the extent possible during failure or faltering and is temporarily stored. To continue operations during periods of unavailability, a representation of planted ground is anticipated by other agricultural implements and/or calculated with agricultural data from other agricultural implements. Normal operations then continue until data sync can catch back up to real-time.

Abstract: A driving support ECU is configured to, when s specific recognition state occurs where a lane marker recognized changes from a left lane marker to a right lane marker or vice versa under a one side lane marker recognizable state, set a steering angle guard value to a second steering angle guard value smaller than a first steering angle guard value and set a steering angle speed guard value to a second steering angle speed guard value smaller than a first steering angle speed guard value.

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 steer-by-wire steering system for a vehicle, including: an operating device including a steering operating member, a counterforce applying mechanism configured to apply, to the steering operating member, an operation counterforce by a counterforce motor, and an operating controller configured to control the operation counterforce; a steering device including a steering actuator configured to steer a wheel by a steering motor and a steering controller configured to control an amount of steering of the wheel by the steering actuator; and a communication line communicably connecting the operating controller and the steering controller, wherein the steering controller is configured to: determine a status code based on a status of the steering device; and transmit the status code to the operating controller via the communication line; and wherein the operating controller is configured to change a magnitude of the operation counterforce in accordance with the status code received by the operating controller.