Abstract: The invention relates to a positioning system for a mobile unit with a reference localization unit, through which a first reference position can be captured at a first point in time and a second reference position of the mobile unit can be captured at a later second point in time; a capturing unit, through with movement data of the mobile unit can be captured; and a computing unit, through which a calculated second position of the mobile unit can be determined at the second point in time by means of a neural network based on the first reference position and the captured movement data. At least one parameter of the neural network can thereby be adjusted based on a comparison of the second reference position with the calculated second position. The invention further relates to a method for operating a positioning system for a mobile unit, in which a first reference position of the mobile unit is captured at a first point in time.

Abstract: A method for avoiding a lateral collision of an ego vehicle includes monitoring a lateral area of the ego vehicle, the monitored area subdivided into at least two subareas and the subareas are at least one pre-warning area and a trigger area. The method also includes identifying a target vehicle in the pre-warning and trigger area, determining movement parameters of the ego vehicle and of the target vehicle. The ego vehicle is controlled in such a way that the distance from the target vehicle is increased. Further, the ego vehicle is controlled as a function of a residence time of the target vehicle in the pre-warning area and in the trigger area, wherein the monitored subareas are located on the lane neighboring the lane used by the ego vehicle and/or a lane adjacent to the neighboring lane.

Abstract: A method for a motor vehicle to select a preferred traffic lane to access a toll area having a plurality of traffic lanes includes the following: a) detecting traffic lanes of the toll area, b) determining, for at least some of the traffic lanes, a first item of data relating to the distance between the motor vehicle and the corresponding traffic lane, and a second item of data relating to the number of other vehicles situated on the corresponding traffic lane, c) minimizing a cost function that depends on each first item of data and on each second item of data, so as to identify the preferred traffic lane, and d) determining the possibility or the risk for the motor vehicle of changing traffic lane in order to move towards the preferred traffic lane.

Abstract: A vehicle control apparatus of an embodiment includes a recognizer which recognizes a surrounding environment of a host vehicle, and a driving controller which controls one or both of a speed and steering of the host vehicle on the basis of a recognition result of the recognizer to perform driving control, wherein the driving controller performs the driving control in at least any of a first driving state and a second driving state having a higher rate of automation or fewer tasks requested for an occupant of the host vehicle than the first driving state, and an operation environment in which route change of the host vehicle in the second driving state is executed is limited as compared to a case of the first driving state.

Abstract: A perception module is configured to perceive a driving environment surrounding an autonomous driving vehicle (ADV) based on sensor data, and to generate perception information using various perception models or methods. The perception information describes the perceived driving environment. Based on the perception information, a planning module is configured to plan a trajectory representing a route or a path for a current planning cycle. The ADV is then controlled and driven based on the trajectory. In addition, the planning module determines a critical region (also referred to as a critical area) surrounding the ADV based on the trajectory in view of a current location or position of the ADV. The metadata describing the critical region is transmitted to the perception module via an application programming interface (API) to allow the perception module to generate perception information for a next planning cycle in view of the critical region.

Abstract: A method includes sensing when a seat is at a first location in a vehicle, and controlling an occupant restraint system of the vehicle in a first manner based on the seat being at the first location in the vehicle. The method further includes sensing when the seat is at a second location in the vehicle, and controlling the occupant restraint system of the vehicle in a second manner based on the seat being at the second location in the vehicle. A system receives data indicating a location of seats in a vehicle and operates an occupant restraint system for the seats using a first set of parameters when the data indicates that a first seat is at a first location, and operates the occupant restraint system for the first seat using a second set of parameters when the data indicates that the first seat is at a second location.

Abstract: The invention relates to a method, system, vehicle, and computer program product for gear shifting in a hybrid powertrain, that comprises an internal combustion engine; an electric machine; a gearbox; and an energy storage unit connected to the electric machine, and at least one control unit arranged in communication with the internal combustion engine, the electric machine, the gearbox and the energy storage unit. The method comprises the steps of: determining an energy level in the energy storage unit; determining an acceleration ability with a subsequent gear; determining a target engine speed for the internal combustion engine based on the energy level in the energy storage unit and the acceleration ability; and controlling the gear shifting based on the target engine speed.

Abstract: A dead-reckoning guidance system determines a vehicle-speed of the host-vehicle based on wheel-signals from the one or more wheel-sensors; determines a distance-traveled by the host-vehicle during a time-interval since prior-coordinates of the host-vehicle were determined; determines a heading-traveled of the host-vehicle during the time-interval since the prior-coordinates of the host-vehicle were determined; determines present-coordinates of the host-vehicle based on the distance-traveled and the heading-traveled; determines when the vehicle-speed is greater than a speed-threshold; determines when the heading-traveled differs from a cardinal-direction by both greater than a noise-threshold and less than an angle-threshold; and in response to a determination that both the vehicle-speed is greater than the speed-threshold and that the heading-traveled differs from the cardinal-direction by both greater than the noise-threshold and less than the angle-threshold, determines a coordinate-correction to apply to t

Abstract: A vehicle control system includes a recognition unit recognizing a surrounding environment of an own vehicle, and a driving control unit controlling a speed or steering of the own vehicle on the basis of a recognition result from the recognition unit, in which the driving control unit causes the own vehicle to perform a first operation in which an inter-vehicle distance between a preceding vehicle and the own vehicle is reduced, and a second operation in which an inter-vehicle distance between the preceding vehicle and the own vehicle is increased after the first operation in a case where a change amount of another vehicle satisfies a predetermined condition or another vehicle is identified as a cutting-in vehicle, on the basis of one of a behavior or a position of another vehicle when another vehicle traveling in an adjacent lane that is adjacent to a traveling lane of the own vehicle changes lane to the traveling lane.

Abstract: An example method may include receiving, from a client computing device, an indication of a target drop-off spot for an object within a first virtual model of a first region of a delivery destination. A second virtual model of a second region of the delivery destination may be determined based on sensor data received from one or more sensors on a delivery vehicle. A mapping may be determined between physical features represented in the first virtual model and physical features represented in the second virtual model to determine an overlapping region between the first and second virtual models. A position of the target drop-off spot within the second virtual model may be determined based on the overlapping region. Based on the position of the target drop-off spot within the second virtual model, the delivery vehicle may be navigated to the target drop-off spot to drop off the object.

Abstract: A vehicle control apparatus comprising: a detector configured to detect a division line of a road; a speed detector configured to detect a speed of a vehicle traveling on the road; and a controller that can execute lane departure suppression control to suppress the vehicle from departing from the division line, wherein the controller changes, in accordance with the speed detected by the speed detector, an execution timing of the lane departure suppression control with respect to the division line.

Abstract: The present teaching relates to method, system, medium, and implementation of lane planning in an autonomous vehicle. Sensor data are received that capture ground images of a road the autonomous vehicle is on. Based on the sensor data, a current lane of the road that autonomous vehicle is currently occupying is detected. Information indicating presence of a passenger in the vehicle is obtained and used to retrieve a personalized lane control model related to the passenger. Lane control for the autonomous vehicle is planned based on the detected current lane and self-aware capability parameters in accordance with the personalized lane control model. The self-aware capability parameters are used to predict operational capability of the autonomous vehicle with respect to a current location of the autonomous vehicle. The personalized lane control model is generated based on recorded human driving data.

Abstract: Provided is a vehicle travel control apparatus configured to set an operation mode of automatic start control to any one of a first mode, in which the automatic start control is executed, and a second mode, in which the automatic start control is not executed, the vehicle travel control apparatus being further configured to: issue to a driver a notification for inquiring whether the driver desires the automatic start control to be executed when the current travel state of an own vehicle is a specific state; and set the operation mode of the automatic start control to the first mode when the driver has performed a predetermined response operation in response to the notification.

Abstract: Systems and methods for creating and using risk profiles for management of a fleet of vehicles are disclosed. The risk profiles characterize values representing likelihoods of occurrences of vehicle events, based on previously detected vehicle events. Exemplary implementations may: obtain vehicle event information for vehicle events that have been detected by the fleet of vehicles; aggregate the vehicle event information for multiple ones of the events to create one or more of a first risk profile, a second risk profile and/or a third risk profile; obtain a point of origin for and a target destination of a particular vehicle; determine a set of routes from the point of origin to the target destination; determine individual values representing likelihoods of occurrences of vehicle events along individual routes in the set of routes; select the first route from the set of routes; and provide the selected first route to the particular vehicle.

Abstract: An automatic driving assist apparatus includes a map information acquirer; an own vehicle position estimator; a route information input unit; a traveling environment information acquirer, a traveling route setting unit, an other-vehicle traveling route acquirer, and an automatic driving controller. The automatic driving controller further includes a target travel path generator, an other-vehicle detection determiner, and a relative vehicle speed determiner, an other-vehicle traveling route determiner, and an automatic traveling controller. The automatic traveling controller causes the own vehicle to travel following another vehicle along a target travel path generated by the target travel path generator in a case where the other-vehicle traveling route determiner determines that a traveling route of the other vehicle is set in a direction of a branch path.

Abstract: A method and a device for determining a position of a transportation vehicle. A preliminary position of the transportation vehicle is determined, objects are detected in an area surrounding the transportation vehicle wherein the objects have at least visible and virtual building corners, the detected objects are transferred into a local coordinate system and are assigned to a map with objects based on the preliminary position of the transportation vehicle, and the position of the transportation vehicle is determined based on an equalization calculus in which the objects in the map which are most suitable for the objects transferred into the local coordinate system are ascertained.

Abstract: The present teaching relates to method, system, medium, and implementation of lane planning in an autonomous vehicle. Sensor data are received that capture ground images of a road the autonomous vehicle is on. Based on the sensor data, a current lane of the road that autonomous vehicle is currently occupying is detected. Lane control for the autonomous vehicle is planned based on the detected current lane and self-aware capability parameters in accordance with a driving lane control model. The self-aware capability parameters are used to predict operational capability of the autonomous vehicle with respect to a current location of the autonomous vehicle. The driving lane control model is generated based on recorded human driving data to achieve human-like lane control behavior in different scenarios.

Abstract: A system for setting parameters within a first vehicle for a first user of the first vehicle is provided and includes a memory, transceiver, and a processing module. The memory stores normalized parameters, which are specific to the first user. Each of the normalized parameters is a parameter of the vehicle. The transceiver receives the normalized parameters from a mobile device of the first user, a server in a cloud-based network, or a portable memory device. The processing module: determines whether the first user is authorized for parameter translation services; if the first user is authorized for parameter translation services, translates the normalized parameters to resultant parameters; generates parameter recommendations based on the resultant parameters; presents the parameter recommendations to the first user; and adjusts current parameters of the first vehicle based on the resultant parameters and a received response from the first user with regards to the parameter recommendations.

Abstract: A vehicle control device includes a preceding vehicle recognition unit which recognizes a preceding vehicle, a lane marking recognition unit which recognizes a lane marking for sectioning a lane in which a host vehicle travels, and a traveling control unit which performs first traveling control for causing the host vehicle to travel along a traveling route based on the lane marking recognized by the lane marking recognition unit in a case where the degree of recognition of the lane marking recognized by the lane marking recognition unit satisfies a predetermined standard, and performs second traveling control for causing the host vehicle to travel on the basis of a trajectory of the preceding vehicle recognized by the preceding vehicle recognition unit in a case where the degree of recognition of the lane marking recognized by the lane marking recognition unit does not satisfy the predetermined standard, and the traveling control unit changes the predetermined standard on the basis of a vehicle speed of the h

Abstract: Systems and methods for providing inter-vehicle communication are disclosed. The method includes receiving, at a fleet management system, operating data from one or more self-driving vehicles via a communication network, and operating the fleet management system to determine a characteristic of a set of vehicles of one or more self-driving vehicles satisfies at least one communication condition. In response to determining the set of vehicles satisfies the at least one communication condition, the fleet management system can operate to select a stored data portion from a manager storage unit based at least on the characteristic of the set of vehicles; and transmit the data portion to the set of vehicles via the communication network. A method of providing inter-vehicle communication between one or more self-driving vehicles is also disclosed.