Abstract: A method for controlling a heavy-duty vehicle to follow a reference path (P), comprising determining a goal point along the reference path to be used as a steering reference from a vehicle location in vicinity of the path, where the goal point is distanced along the path by a preview distance measured from a reference location associated with the vehicle location, determining a direction w1 of a first flow field associated with the reference path, determining whether a lateral deviation of the vehicle location from the reference path exceeds a threshold lateral deviation, and controlling the vehicle in accordance with the direction w1 of a first flow field if the lateral deviation exceeds the threshold lateral deviation, and otherwise controlling the vehicle in accordance with the direction wpipe of a pipe flow substantially parallel to the reference path or in accordance with an optimization-based path.

Abstract: A driving assistance device is configured to: refer to an output of a first detection device for detecting that an object is located in front of a vehicle; execute one or both of instructing a brake device of the vehicle to stop the vehicle and instructing a steering device of the vehicle to avoid a collision with the object by steering when an indicator value is less than a first threshold; execute a first preliminary operation when the indicator value is less than a second threshold; execute a second preliminary operation when the indicator value is less than a third threshold and it is determined that there is no travel path along which the vehicle is able to travel on both lateral sides of the object after the vehicle avoids the collision with the object by steering.

Abstract: Disclosed herein is a test rover apparatus, a test system and a test method using the test rover apparatus. For example, the test rover apparatus is provided with a chassis that is configured to support an object representing a mobile actor, and a motor that is coupled to at least one wheel. At least one spring is coupled between the at least one wheel and the chassis to: bias the at least one wheel to extend out of the cavity to engage an underlying surface, and compress in response to a load being applied to the top of the chassis thereby retracting the at least one wheel into the cavity. A controller is configured to control the motor to drive the at least one wheel to propel the chassis along a predetermined route that is based on simulation data and corresponds to a maneuver of the mobile actor.

Abstract: Provided are a terminal that shares user account information and links to another terminal, and a server communicating with the terminal. The terminal provided in a vehicle, when user account information of a user is received from the server through the communicator, stores the received user account information, displays the stored user account information based on at least one of whether the user is present in the vehicle or whether an start command of the vehicle is received, and controls to link to the user terminal using the user account information. Also, the terminal stores user account information of a user input transmits the input user account information to the server, when an authentication request signal is received from the server, displays authentication request information, when an authentication command is received in response to displaying the authentication request information, performs authentication about the user of the vehicle.

Abstract: A system for emergency shutdown of an electric charger using a de-energizing protocol is presented. The system includes a computing device, wherein the computing device is configured to receive a sensor datum from a sensor, determine a disruption element between a charging connector and an electric vehicle as a function of the sensor datum, and initiate a de-energizing protocol as a function of the disruption element.

Abstract: A brake traction control system (BTCS) using a redundancy braking system includes a main braking force adjusting device configured to control a hydraulic brake of a vehicle, a sensor unit configured to detect a driving state of the vehicle, an electronic brake electrically operating and configured to generate braking force for at least one driving wheel, and an auxiliary braking force adjusting device configured to control the hydraulic brake and the electronic brake when a failure occurs in the main braking force adjusting device, wherein the auxiliary braking force adjusting device is configured to adjust the braking force of the electronic brake provided on at least one wheel on left and right sides of the vehicle based on a detected value of the sensor unit.

Abstract: A host vehicle position estimation unit includes an absolute position estimation unit that estimates a first vehicle position based on absolute position information acquired from a GNSS. The host vehicle position estimation unit further includes a relative position estimation unit that estimates a second vehicle position based on relative position information acquired from outside the host vehicle; a traveling state determination unit that determines a change of a traveling state of the host vehicle based on vehicle information or satellite information; a difference computation unit that computes a time synchronized difference between the first and the second vehicle positions; a learning unit that accumulates the difference as time-series data for each traveling state and learns a correction amount of the first vehicle position for each traveling state based on the time-series data; and a position correction unit that corrects the first vehicle position based on the correction amount.

Abstract: A traction power supply system of an electric or hybrid transportation vehicle having a high-voltage side and a low-voltage side, wherein at least one electrical machine, an inverter and a high-voltage battery are arranged on the high-voltage side, wherein the high-voltage side is connected to the low-voltage side via at least one DC-DC converter, wherein the high-voltage battery is assigned at least one switching element, wherein the traction power supply system has at least one control device which controls the switching element, wherein the at least one switching element is arranged in at least one connection line between the high-voltage battery and the inverter, wherein the high-voltage battery is connected to the DC-DC converter via at least one further connection line. Also disclosed is a method for controlling a traction power supply system.

Abstract: An operation control apparatus (10) includes a data acquisition unit (110) and an apparatus control unit (120). The data acquisition unit (110) acquires first congestion data. In a present example, the data acquisition unit (110) generates the first congestion data by processing an image generated by an image capture unit. The image processing performed herein includes, for example, processing of counting the number of persons in a crowd. The apparatus control unit (120) controls an apparatus to be controlled by using the first congestion data. For example, when the first congestion data exceed a reference value, the apparatus control unit (120) reduces the number of operating apparatuses to be controlled and lowers a response speed of the apparatus to be controlled in such a way that the number of persons moving from a second area to a first area per unit time decreases.

Abstract: A method and a device for vehicle control are disclosed. The method includes: in response to a driving mode switching instruction, detecting whether an electric quantity of a low-voltage battery of the vehicle is higher than a preset threshold value, the preset threshold value being determined according to an electric quantity value required for the vehicle to park; and when the electric quantity of the low-voltage battery is higher than the preset threshold value, controlling the vehicle to enter a target driving mode corresponding to the driving mode switching instruction.

Abstract: A system and a method include a control unit configured to monitor one or more values of one or more aircraft at one or more airports, and compare the one or more values with one or more attributes of one or more airport maps associated with the one or more airports to determine accuracy of the one or more airport maps.

Abstract: The invention relates to a stroller frame, comprising a sensor unit for capturing sensor data and a drive unit comprised of a computing unit, which is designed to switch the drive unit between a driving state and a non-driving state according to the time curve of the sensor data.

Abstract: Disclosed herein are systems, methods, and computer program products for controlling acceleration of a vehicle. The methods comprising: detecting a lateral distance from a point on a trajectory of the vehicle to an object the vehicle is expected to pass when following the trajectory, the object being located off of and to a side of the trajectory and the point representing a future location of the vehicle while passing the object; comparing the lateral distance to a threshold value; selecting whether acceleration limiting is to be performed by the vehicle based on whether the lateral distance is less than the threshold value; and causing the vehicle to perform operations for autonomous driving with or without acceleration limiting based on said selecting.

Abstract: A method for controlling a powertrain of an electric vehicle. The method includes receiving a torque demand signal. Thereafter, a future power loss within the powertrain is estimated as a function of a torque distribution between at least two electric traction machines of the powertrain. Alternatively or additionally the loss can be estimated as a function of a free rolling state of at least one of the electric machines. Subsequently, a torque distribution between the electric traction machines is determined and/or a free rolling state of at least one of the electric machines is determined which minimizes the future power loss. Moreover, a corresponding data processing device, a corresponding computer program and a corresponding computer-readable medium are presented. Moreover, a powertrain for an electric vehicle is described. The powertrain includes such a data processing device and at least two electric traction machines and/or a clutch device.

Abstract: A system for determining lane information. A memory storing instructions executable by a processor includes instructions to receive forward image data of a roadway from a forward-facing camera of a vehicle, determine visible lane boundaries of the driving lane based on lane marking features in the forward image data, determine a predicted lane boundary of the driving lane based, at least in part, on forward features in the forward image data, and determine a driving path of the vehicle through the visible lane boundaries and the predicted lane boundary.

Abstract: Disclosed are aspects of a method, carried out by a vehicle data recording device, that includes downloading, from a host data collecting system, a recording target and determining a plurality of possible routes for the vehicle. The method also includes, for each route, generating a route encoding in numerical values an information on predicted values of the route for metrics, a metric being a function assigning a value representing an amount of progress in achieving an elementary recording target to a piece of data. The method additionally includes providing the route encodings and additional environmental information independent of the routes to a reinforcement learning agent that selects one of the routes to optimize a reward. The method further includes recording data from in-vehicle sources while the vehicle drives along the selected route and uploading at least part of the recording data to the host data collecting system.

Abstract: In one embodiment, a method includes determining a plurality of available locations for a vehicle to pick up or drop off a user in an area based on sensor data that is captured by the vehicle and is associated with physical characteristics of the area. The method includes calculating a viability value for each of the plurality of available locations. The viability value is calculated based on the physical characteristics of the area as determined from the sensor data. The method includes ranking the plurality of available locations according to the viability values of the plurality of available locations. An available location with a higher viability value is ranked above an available location with a lower viability value. The method includes sending instructions to present, on a computing device, one or more selectable locations of the plurality of available locations based on the ranking.

Abstract: Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding mad portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

Abstract: A method for dynamically computing a handrail influence intensity factor includes the steps of identifying a current location of a vehicle, retrieving map data of an area corresponding to the current location of the vehicle, identifying a current road of the vehicle based on the map data and the current location of the vehicle, determining at least one of one or more roads that intersect the current road and one or more roads closest to the current road, retrieving a vehicle heading for the vehicle, determining a set of candidate roads, determining a relative target heading for each candidate road in the set of candidate roads, calculating a handrail influence intensity factor based on a distance between the current location of the vehicle and a closest point on each candidate road and based on a difference between the vehicle heading and the relative target heading for each candidate road.

Abstract: Aspects related to game theoretic decision making may be implemented utilizing a sensor, a memory, and a processor. The sensor may detect other vehicles and corresponding attributes as an observation. The memory may store instructions. The processor may execute the instructions to perform acts, actions, or steps, such as constructing a search tree based on the observation, an initial belief, and a vehicle identified as a current opponent vehicle, performing a Monte Carlo Tree Search (MCTS) on the search tree based on a planning horizon and a time allowance to determine a desired action from a set of ego-actions, executing, via vehicle systems, the desired action, detecting an updated observation associated with one or more of the other vehicles, identifying the other vehicles to be updated as the current opponent vehicle, and updating a root node of the search tree based on the current opponent vehicle.