Abstract: A hybrid electric vehicle includes a control device that performs travel control and battery control. The battery control includes: first discharge control that sets a lower limit voltage of the battery to a first lower limit value when the battery is not in a warm-up state of the catalyst device, and sets battery dischargeable power to a first upper limit value; and second discharge control that sets a lower limit voltage of the battery to a second lower limit value that is smaller than the first lower limit value when the battery is in a warm-up state of the catalyst device, and sets the battery dischargeable power to a second upper limit value that is larger than the first upper limit value. The travel control includes transient control for causing the battery to output power that is a sum of the battery dischargeable power and a temporary increase.

Abstract: An in-vehicle electronic controller includes a risk map generating unit that determines a traveling risk level in an area around the vehicle, based on external environment information acquired by an external environment sensor installed in the vehicle, movement information on the vehicle, and map information, and that maps the traveling risk level onto a map to generate a risk map; and a track generating unit that generates a traveling track of the vehicle, using the risk map. The track generating unit generates at least one binarized image representing the risk map divided into a low risk area and a high risk area, by a binarization process by which whether the traveling risk level is larger than a given set value is determined, performs a thinning process on the at least one binarized image to determine a center line in a width direction of the low risk area, and generates a traveling track of the vehicle, based on the determined center line.

Abstract: A method and apparatus for predicting altitude using compressed road information are provided. The method includes generating two-dimensional compressed road information associated with a designated reference point of each of one or more sections of a road distinguished in a predetermined manner based on two-dimensional original road information. The method also includes generating compressed altitude information corresponding to the designated reference point based on map information including original altitude information. The method additionally includes predicting front gradient information based on three-dimensional compressed road information having the two-dimensional compressed road information and the compressed altitude information, a location of a vehicle, and a driving direction of the vehicle.

Abstract: A path navigating device including a transceiver and receiver that communicates with a vehicle and a cloud server, an interface unit that receives an image of an environment around the vehicle and sensing information that has sensed a driving state of the vehicle from the vehicle, an augmented reality (AR) engine that renders an AR view image including AR information, a mixed reality (MR) navigation engine that renders a MR view image including MR information, and a processor that detects a view image that matches a current driving situation of the vehicle and controls the interface unit to display an AR view image or an MR view image on a display of the vehicle.

Abstract: A method for controlling vehicle propulsion includes receiving signal data corresponding to a signaled intersection of a route being traversed by a vehicle. The method further includes determining an intersection propulsion profile for the signaled intersection based on at least a current vehicle speed and the signal data. The method further includes determining, based on the intersection propulsion profile, whether to deviate from a vehicle energy consumption profile corresponding to the route being traversed by the vehicle. The method further includes, in response to a determination to deviate from the vehicle energy consumption profile, selectively controlling vehicle propulsion of the vehicle according to the intersection propulsion profile. The method further includes, in response to traversing the intersection, selectively controlling vehicle propulsion according to the vehicle energy consumption profile.

Abstract: Technologies and techniques for displaying a virtual three-dimensional navigation map in a vehicle. A surface of an interior is determined for the vehicle, and a three-dimensional navigation map is loaded. The three-dimensional navigation map is automatically adjusted to the surface, and the adjusted three-dimensional navigation map is represented together with a representation of an ego position of the means of transportation as a virtual, raised model on the surface via an augmented reality display device.

Abstract: Magnetic-based collaborative positioning of a portable device involves obtaining magnetic field measurements for the portable device, obtaining magnetic fingerprint map information, obtaining parameters of motion of the portable device, obtaining collaborative assistance data from at least one neighbor portable device and determining position of the portable device based on the obtained magnetic field measurements, the obtained magnetic map information, the obtained motion parameters and the obtained collaborative assistance data.

Abstract: Disclosed embodiments include power machine, control systems for power machines, and methods of controlling a power machine to automatically couple an implement to an implement carrier of the power machine. Sensors are used to identify positions of a power machine and of an implement, such as a bucket, to be coupled to the implement carrier of the power machine. Control methods are implemented to allow the power machine to be automatically controlled to couple the implement to the implement.

Abstract: A windrower implement includes a merger attachment positioned rearward of an implement head. The merger attachment includes a conveyor positioned to receive discharged crop material from the implement head and convey the crop material to a laterally offset location. A crop sensor is operable to detect data related to a current characteristic of the cut crop material. A merger controller is operable to receive data from the crop sensor related to the current characteristic of the cut crop material, determine a desired windrow width based on the data from the crop sensor related to the current characteristic of the cut crop material, and then control a current speed of the conveyor based the desired windrow width.

Abstract: A method for controlling an ego vehicle. The method includes: receiving map data of a map representation of a surrounding environment of an ego vehicle; determining a safe driving corridor of the ego vehicle based on the map data of the map representation; determining a safety region of the ego vehicle based on a state of motion of the ego vehicle; checking whether the safety region is located completely within the safe driving corridor during travel of the ego vehicle along a travel trajectory; and outputting a control signal for executing a safety maneuver if the safety region is located at least partially outside the safe driving corridor.

Abstract: An embodiment of an autonomous driving control apparatus includes a sensor device, a memory storing at least one instruction, and a controller operatively connected with the sensor device and the memory. The at least one instruction can be configured to, when executed by the controller, cause the autonomous driving control apparatus to perform operations including identifying a road security mirror being present in front of a host vehicle, using the sensor device, stop driving movement of the host vehicle, in response to the road security mirror meeting a specified condition, detecting an image change rate of at least one security mirror included in the road security mirror, and resume driving the host vehicle, in response to the image change rate being less than or equal to a specified value during a specified time.

Abstract: The present disclosure relates to a method and apparatus for performing multipath search. The method according to an embodiment of the present disclosure may calculate a distance between an origin point and a destination point in a group of destination points. In addition, the method may generate a travel path between the origin point and the destination point using a first path-finding method when the distance between the destination point and the origin point is less than a threshold value, and generate the travel path between the origin point and the destination point using a second path-finding method when the distance between the destination point and the origin point is greater than or equal to the threshold value.

Abstract: An electronic device and method for more accurate autonomous driving, where the electronic device includes a sensor disposed in a moving object and configured to generate sensing data, and a processor configured to determine a predicted position of the moving object and a region of interest (ROI) based on a driving plan of the moving object, select a target position offset based on an available sensing region of the sensor in the ROI and the predicted position, and update the driving plan of the moving object based on the target position offset.

Abstract: There are provided a driving assistance device and a computer program that provide appropriate driving assistance that does not place a burden on a passenger of a vehicle when an obstacle which becomes a factor that hinders travel of the vehicle is present on a planned travel route of the vehicle. Specifically, when an obstacle which becomes a factor that hinders travel of a vehicle is present on a planned travel route of the vehicle, a cost indicating a burden on a passenger is calculated for a plurality of candidates for avoidance operation for avoiding the obstacle, avoidance operation recommended to avoid the obstacle is selected from among the plurality of candidates for avoidance operation by comparing the calculated costs, a travel path recommended for the vehicle to travel along is generated in accordance with the selected avoidance operation, and driving assistance for the vehicle is provided based on the generated travel path.

Abstract: Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.

Abstract: A position estimation system provided in a vehicle can include a front sensor, a peripheral sensor, a position estimation device, and a control device. The position estimation device can be configured to determine weights for each of a plurality of pieces of information related to a state and a surrounding environment of the vehicle, the plurality of pieces of information comprising vehicle speed, steering angle, traveling environment, predicted curvature, and surrounding environment. The position estimation device can then select whether to use a plurality of feature point groups including a part of the plurality of feature points detected by the front sensor and the peripheral sensor to estimate the position of the vehicle based on the weights.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Disclosed are techniques for vehicle positioning. In an aspect, a positioning engine aggregator of a host vehicle determines a position estimate of the host vehicle based on one or more position fixes determined by one or more positioning engines of the host vehicle, receives input from a user interface (UI) of the host vehicle to correct the position estimate of the host vehicle, and updates the position estimate of the host vehicle based on the input from the UI.

Abstract: A vehicle may include a primary system for generating data to control the vehicle and a secondary system that validates the data and/or other data to avoid collisions. For example, the primary system may localize the vehicle, detect an object around the vehicle, predict an object trajectory, and generate a trajectory for the vehicle. The secondary system may localize the vehicle, detect an object around the vehicle, predict an object trajectory, and evaluate a trajectory generated by the primary system. The secondary system may also monitor components of the vehicle to detect an error. If the secondary system detects an error with a trajectory generated by the primary system and/or an error with a component of the vehicle, the secondary system may cause the vehicle to perform a maneuver, such as decelerating, changing lanes, swerving, etc.

Abstract: A charging and discharging control apparatus for a vehicle is provided. The apparatus for a vehicle includes a processor that controls charging and discharging of electric energy of the vehicle and a storage that stores data and algorithms driven by the processor. The processor senses a voltage of a proximity detection signal line to determine whether a discharging connector for supplying a voltage to an outside of the vehicle or a charging connector for supplying a voltage to an inside of the vehicle is connected to an inlet of the vehicle, and determines whether a discharging start command is applied by sensing a voltage of a control pilot signal line when the discharging connector is connected.