Abstract: A current lane of vehicle operation is determined to be branched at a location into a through lane and a deceleration lane based on first sensor data indicating an increased width of the current lane exceeds a predetermined width at the location. Then the vehicle is determined to be operating in one of (a) the deceleration lane, or (b) the through lane, based on second sensor data. Then one of (a) an assist feature of the vehicle is activated to a disabled state based on determining the vehicle is in the deceleration lane, or (b) the assist feature is maintained in an enabled state based on determining the vehicle is in the through lane.

Abstract: An operation status reproducing device includes an onboard information obtaining unit that obtains onboard information corresponding to date and time from an onboard device mounted on a designated train being a train specified by a train number and the date and time externally designated, a specific event detecting unit that specifies time at which a specific event occurs by analyzing the onboard information, a ground information obtaining unit that obtains ground information in a certain period including the time at which the specific event occurs from a ground device, an external information obtaining unit that obtains external information including weather information in a certain period including the time at which the specific event occurs, and a reproduction image generating unit that generates a reproduction image illustrating a past operation status of the designated train based on the onboard information, the ground information, and the external information.

Abstract: A method, computer system, and a computer program product for payload stabilization is provided. The present invention may include, in response to receiving at least one sensor data associated with a suspended payload, detecting an unstable movement in the suspended payload during a transport of the suspended payload. The present invention may also include implementing at least one sail coupled to the suspended payload to stabilize the detected unstable movement of the suspended payload.

Abstract: A driving lane determination method includes acquiring map information and driving environment information, deciding whether to perform driving lane determination entry based on the map information and the driving environment information, matching the map information and the driving environment information to calculate a matching point of each lane upon deciding the driving lane determination entry, deciding a matching lane based on the calculated matching point, deciding a tracking lane based on a prediction lane predicted from a previous driving lane and lane change determination upon deciding the matching lane, and deciding a final driving lane based on the decided matching lane and the decided tracking lane.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the operation of a vehicle are provided. For example a vehicle computing system can receive occupancy data that includes information associated with occupancy of a vehicle that includes seats. One or more states of the vehicle can be determined. The states of the vehicle can include a disposition of any object that is within the vehicle. Further, a configuration of the seats in the vehicle can be determined based on the occupancy data and the states of the vehicle. The configuration can include a disposition of the seats inside the vehicle. Furthermore, at least one of the seats can be adjusted based on the configuration that was determined.

Abstract: Herein is disclosed a detection device comprising one or more sensors, configured to receive sensor input from a vicinity of a first vehicle, and to generate sensor data representing the received sensor input; one or more processors, configured to detect a second vehicle from the received sensor data; determine from the sensor data a region of a first type relative to the second vehicle and a region of a second type relative to the second vehicle; and control the first vehicle to avoid or reduce travel in the one or more regions of the first type or to travel from a region of the first type to a region of the second type.

Abstract: This application provides an obstacle detection method and apparatus and a storage medium, where the method includes: obtaining point cloud data in an Nth detection sub-range of LiDAR in a preset sequence, wherein a detection range of the LiDAR in a detection cycle includes M detection sub-ranges, the Nth detection sub-range is any one of the M detection sub-ranges, M is an integer greater than or equal to 2, and N is an integer less than or equal to M; calculating confidence that the Nth detection sub-range includes a preset target object based on the obtained point cloud data in the Nth detection sub-range; and if the confidence is greater than or equal to the preset threshold, output an identification result of the preset target object. In the obstacle detection method provided in this application, real-time performance for detecting an obstacle by LiDAR is improved.

Abstract: A management device includes a route determination unit configured to determine a photography route, an instruction unit configured to instruct a first flying device to perform photography on the photography route, and an identification unit configured to identify a stop position of the photography by the first flying device. When the identification unit has identified the stop position, the instruction unit is configured to instruct a second flying device, which is different from the first flying device, to start the photography on the photography route from the stop position.

Abstract: A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models. A decentralized partial least squares (PLS) regression model predicts short-term speed using localized, historical probe-based traffic data, and a deep learning model applies the predicted short-term speed to further estimate traffic speed at specified times and at specific locations in the transportation network for predicting traffic bottlenecks and other future traffic states.

Abstract: A system includes a processor configured to receive imaging of an environment surrounding a user, captured by a user device. The processor is also configured to identify a plurality of non-user entities in the image. The processor is further configured to identify a user location relative to the non-user entities. The processor is also configured to generate a digital representation of the user location relative to the non-user entities and convey the digital representation to a vehicle requested by the user.

Abstract: An SIL 4 over-speed protection device for a rail vehicle includes a first logical unit configured to be connected to a first power source, a first speed sensor and a first vital supervision circuit and a second logical unit configured to be connected to a second power source, a second speed sensor and a second vital supervision circuit. The first logical unit is configured to determine if the second logical unit is functioning properly and the second logical unit is configured to determine if the first logical unit is functioning properly.

Abstract: Embodiments for assisting steering of a vehicle responsive to detecting an object in a proximity of a vehicle are described. Embodiments described include: receiving an image of a lane indicator corresponding to a lane of travel of the vehicle from an image capturing device; determining, based on the image, reference values corresponding to a position of the lane indicator relative to the vehicle; associating each of the reference values to values used to locate a point within a reference frame related to a direction the vehicle is traveling; receiving position information of an object in an environment external to the vehicle from a radar sensor; determining, based on the values and the position information, an assigned lane of the object; detecting an impending change of the lane of travel of the vehicle to the assigned lane of the object; generating a steering control value based on the impending change.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: A system for dynamically adjusting a configuration of an intra-train communication network includes an electronic device and a computer-readable storage medium. The computer-readable storage medium has one or more programming instructions that, when executed, cause the electronic device to receive one or more parameters values associated with a train consist, determine whether a potentially adverse condition that would affect intra-train communication for the train consist is anticipated based on at least a portion of the received parameters, in response to determining that the potentially adverse condition is anticipated, identify one or more updated network parameter settings that will assist in maintaining intra-train communication of the train consist during an occurrence of the potentially adverse condition by executing a machine learning model, and implement the identified one or more updated network parameter settings.

Abstract: A steering control method including: applying a steering reaction force obtained by adding a first steering reaction force according to a steering angle of a steering wheel and a second steering reaction force according to a steering angular acceleration of the steering wheel to the steering wheel; determining a possibility that an emergency steering operation of the steering wheel by a driver will be performed; and when it is determined that there is the possibility of the emergency steering operation being performed, making the second steering reaction force small compared with when it is not determined that there is the possibility of the emergency steering operation being performed.

Abstract: The invention relates to a method for monitoring a surrounding area (6) of a motor vehicle (1), wherein measurement points of surfaces of objects (7) in the surrounding area (6) detected by at least two sensor devices (4, 5) of the motor vehicle (1) are received, and wherein first measurement points of a first surface area (13) detected by a first sensor device (4) are received and second measurement points of a second surface area (14) with no overlap with the first surface area (13) detected by a second sensor device (5) are received, the first and second measurement points are used to determine a relative position of the surface areas (13, 14) with respect to each other, it is determined whether the surface areas (13, 14) are to be assigned to a single object (7) based on the relative position and, if so, the surface areas (13, 14) are combined into a total surface area (12) of the object (7). The invention also concerns a sensor control unit (9), a driver assistance system (2) and a motor vehicle (1).

Abstract: An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.

Abstract: A system for estimating a trajectory of a vehicle includes vehicle state sensors detecting a state of movement of the vehicle and environment sensors monitoring an environment of the vehicle. A free space module determines a free space corridor based on the detected state of movement of the vehicle and the monitored environment of the vehicle. A goal point determination module determines at least one goal point for the trajectory to be estimated based on the free space corridor. A trajectory planning module estimates a reference trajectory based on the at least one goal point and calculates a deviation between an actual trajectory and the reference trajectory of the vehicle. A trajectory control module minimizes the deviation between the actual trajectory and the reference trajectory of the vehicle and outputs optimal control parameters for the movement of the vehicle based on the minimized deviation.

Abstract: An aircraft landing assist apparatus includes an image obtaining unit, a shape obtaining unit, a measuring unit, and a calculating unit. The image obtaining unit is configured to obtain an image of a surrounding region of a landing point on which an aircraft is to land. The shape obtaining unit is configured to obtain a shape of the surrounding region of the landing point on the basis of the obtained image. The measuring unit is configured to measure an above-air wind direction and an above-air wind velocity. The calculating unit is configured to calculate a landing-point wind direction and a landing-point wind velocity on the basis of the obtained shape of the surrounding region of the landing point, the measured above-air wind direction, and the measured above-air wind velocity.

Abstract: The control apparatus (200) is an apparatus that controls the travel of a target vehicle (10). The control apparatus (200) detects a partial object (20) using a sensor. The partial object (20) is a part of an object riding on the target vehicle (10) and is jutting outside the target vehicle (10). Furthermore, the control apparatus (200) outputs information (travel information) relating to travel of the target vehicle (10) based on the detected partial object (20). For example, the travel information is control information for travel control of the target vehicle (10) and notification information indicating information relating to the partial object (20).