Abstract: A system and a method for estimating a position of a vehicle. The vehicle includes a gradiometer. The method includes calculating a gravity vector using a gravity spatial derivative generated by the gradiometer and a plurality of body velocities generated by a body velocity source, calculating a gravity potential based on the gravity vector, and estimating an inertial measurement unit (IMU)-based position using the gravity vector, a body acceleration, and a body attitude. The method includes estimating a gravity vector-based position using the gravity vector and estimating a gravity map-based position using the gravity potential and one or more gravitational maps. The method includes estimating the position of the vehicle based on the IMU-based position, the gravity vector-based position, and the gravity map-based position, and controlling at least one of the vehicle and a second vehicle based on the position of the vehicle.

Abstract: A mobility vehicle can include a body part, a plurality of support frames configured to support the body part and rotate about a first rotation axis relative to the body part, and a plurality of movement parts respectively connected to the plurality of support frames and configured to move the body part and the support frames, in which the body part and the support frames are configured to be allowed to rotate about the first rotation axis relative to one another in a state in which the body part and the support frames are supported on one another in a direction in which the first rotation axis extends.

Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.

Abstract: Techniques for determining detection boxes representing objects in an environment using improved corner detections are disclosed herein. Autonomous vehicle sensors can capture data in an environment that may include separate objects, such as large and/or articulated vehicles. In an example, the data can include a plurality of points that may be processed to identify object corners. Locations of points in clusters of points associated with particular object corners may be aggregated to determine a predicted corner point that may be used to adjust the detection box for that object, thereby generating a more accurate detection box for the object. A vehicle computing system can control the vehicle using the adjusted detection box.

Abstract: The invention obtains a controller and a control method capable of improving assistance performance for a rider. A controller for behavior of a straddle-type vehicle (100) includes: an acquisition section that acquires positional relationship information between the traveling straddle-type vehicle (100) and a target (200); and an execution section that executes positional relationship adjustment operation to automatically change a travel speed of the straddle-type vehicle (100) on the basis of the positional relationship information acquired by the acquisition section and to thereby adjust a positional relationship between the straddle-type vehicle (100) and the target (200).

Abstract: Provided are a method for performing wireless communication by a first device, and an apparatus for supporting same. The method may comprise: obtaining zone configuration information; receiving first information related to an occupancy of a zone by at least one device; obtaining second information related to an occupancy of the zone by one or more devices, based on a sensor of the first device; determining occupancy probability information of the zone, based on the first information and the second information; and transmitting the occupancy probability information.

Abstract: A determination of a priority to be assigned to a vehicle, carried out by a server. The determination includes: collecting, from a communication network, data concerning at least the identifiers of communicating devices, one of the collected identifiers being associated with the vehicle, determining a number of collocated identifiers according to a selected collocation criterion, the identifier associated with the vehicle being one of the collocated identifiers, and if the number is greater than a threshold, assigning the vehicle a first priority, and if the number is below the threshold, assigning the vehicle a second priority that is lower than the first priority.

Abstract: A vehicle control device determines whether or not the vehicle has made a lane change, performs assistance control which is one or both of deceleration control for decelerating the vehicle so that a speed of the vehicle approaches a target speed based on curved road information and notification control for notifying that the speed of the vehicle approaches the target speed while the vehicle is traveling in a first lane connected to the curved road in a segment from an entrance to the curved road to a position a predetermined distance before the entrance or while the vehicle is traveling on the curved road, and controls a process of operating or stopping the assistance control in accordance with presence or absence of the lane change of the vehicle while the vehicle is traveling in the segment or on the curved road.

Abstract: A method, apparatus, and computer program product are provided for providing merging assistance for a vehicle. The method includes capturing a vehicle speed of the vehicle travelling in a lane of roadway. The method also includes receiving adjacent vehicle data relating to an adjacent vehicle in an adjacent lane. The method further includes receiving adjacent lane data relating to a speed of one or more vehicles in the adjacent lane. The method still further includes generating merger information for the vehicle based on the vehicle speed, the adjacent vehicle data, and the adjacent lane data. A corresponding apparatus and computer program product are also provided.

Abstract: A sensor cleaning apparatus detects an object in a vicinity of a vehicle from information acquired by at least one sensor monitoring the vehicle vicinity, detects contamination on the sensor, and continues air cleaning in which high-pressure air is sprayed onto the sensor for a predetermined air cleaning time, in response to detecting that water droplets are attached to a sensor surface of the sensor. The sensor cleaning apparatus controls autonomous driving of the vehicle using information on the object detected, and outputs a command to clean the sensor with a cleaning liquid, in response to detecting contamination on the sensor and determining that cleaning with the liquid cleaner is possible. The sensor cleaning apparatus controls at least one liquid cleaning actuator to clean the sensor by spraying the cleaning liquid based on the command, and notifies that the sensor is being cleaned with the cleaning liquid.

Abstract: A method includes an initial trailer health assessment and real-time trailer health monitoring. The initial trailer health assessment includes autonomous pre-trip maneuvers of the autonomous vehicle during a first time period, and detecting a pre-trip vehicle health condition. A vehicle health score is calculated based on the pre-trip vehicle health condition. If the vehicle health score is at least a threshold value, real-time trailer health monitoring is performed during a trip of the autonomous vehicle during a second time period, by actively monitoring vehicle dynamics data and/or image data associated with the autonomous vehicle, to determine a fault condition of the autonomous vehicle. If the fault condition meets a first criteria, a control parameter and/or a travel plan of the autonomous vehicle is adjusted. If the fault condition meets a second criteria different from the first criteria, a signal is sent to cause the autonomous vehicle to cease movement.

Abstract: A system for establishing a strategy for allowing a vehicle to avoid collision risk. The system includes a risk degree determination unit configured to determine a degree of collision risk with a nearby object of an ego vehicle; a vehicle trajectory prediction unit configured to predict a future vehicle trajectory of the nearby object; an avoidance trajectory prediction unit configured to predict a future avoidance trajectory of the ego vehicle corresponding to a plurality of avoidance strategies for avoiding collision with the nearby object; and a collision avoidance strategy determination unit configured to learn the future vehicle trajectory of the nearby object and the future avoidance trajectory of the ego vehicle and output an avoidance strategy selected from the plurality of avoidance strategies.

Abstract: The processor 162 of ECU160 is configured to park a vehicle at a designated position by a semi-automatic parking control in which the driver only operates a shift lever, and to temporarily interrupt the automatic parking control when the driver operates the shift lever to a parking range at the time of turning-back of the steering wheel during the automatic parking control.

Abstract: A machine-learned architecture for estimating the cost to operate from a prediction node of a tree search for exploring candidate operations for controlling a vehicle may be trained using a loss function that mitigates the deleterious effects of training without infinitely searching the tree or reaching convergence. A first loss of the loss function term may be based on a difference between the architecture's estimated cost to go from a starting position and the cost to go from the starting position determined by the search so far. A second loss term may be based on the difference between the model's estimate of the cost to go from a predicted state and may be adjusted based on (1) weighting based on a convergence-based weight and/or (2) adjusting the second loss term using an approximation of a difference between a cost of the current cheapest action and the globally optimal action.

Abstract: Techniques are described herein for safely transitioning a vehicle from a first trajectory to a second trajectory. In response to a safety event, for example, a vehicle may switch from being controlled in accordance with a nominal planner output (a planned trajectory) to a safety, or stopping, trajectory. In some examples, in response to the vehicle overcoming the safety event, a safe and smooth return to a nominal planning system output trajectory (an updated planned trajectory) may be determined and used to cause the vehicle to continue along to a previously determined destination.

Abstract: Systems, methods, and other embodiments described herein relate to predicting future trajectories of ado vehicles and an ego vehicle based on the awareness of the driver of the ego vehicle towards the ado vehicles. In one embodiment, a method includes determining an awareness of a driver of an ego vehicle to ado vehicles in the vicinity of the ego vehicle. The method also includes altering track data of ado vehicles based on a lack of awareness of the driver towards the ado vehicles. The method also includes transmitting altered track data of the ado vehicles to a prediction module. The prediction module predicts future trajectories of the ado vehicles and the ego vehicle based on the altered track data and an ego vehicle track data.

Abstract: An information processing device calculates a feature related to driving of a driver. The information processing device includes: a processor that calculates the feature; and a transmission unit that transmits the calculated feature to an outside. The processor identifies whether there is a predetermined situation in which a risk in relation to a preceding vehicle occurs, and calculates, as the feature, information related to a behavior of the driver for reducing the risk when the predetermined situation is identified.

Abstract: Methods are provided for dynamically improving driving performance of a moving vehicle that is traversing a land surface using a flywheel, an active element, and a controller. The controller predicts the directional change of the moving vehicle, detects initiation of the predicted directional change of the moving vehicle, determines or estimates an incremental directional change of the moving vehicle that is currently needed to navigate a portion of the predicted directional change, and controls the active element to slow down or further spin up the flywheel to reduce traction that is needed between the wheels of the vehicle and the land surface to navigate the determined incremental directional change of the moving vehicle. The flywheel is maintained in a fixed orientation with respect to the body of the moving vehicle during the spinning up or slowing down of the flywheel.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for determining a navigation path. The method may include acquiring a source geographical location and a destination geographical location received from a user side device. In addition, the method may include determining a navigation path from the source geographical location to the destination geographical location based on a communication resource heat database, the communication resource heat database including at least a plurality of geographical regions associated with the navigation path and communication resource heat of each of the plurality of geographical regions, the communication resource heat including signal quality, signal strength, and a remaining resource capacity. Then, the method may include sending the determined navigation path to the user side device.

Abstract: Systems and techniques for whether to associate predicted object trajectories of objects detected in an environment with candidate vehicle trajectories are described. A vehicle computing system may determine a vehicle occupancy state of a vehicle along a path of travel, determine, based at least in part on the predicted object trajectory, an object occupancy state of the object along the predicted object trajectory, determine a state interaction score for the vehicle occupancy state and the object occupancy state, determine, based at least in part on the state interaction score, a relevancy score representing a relevance of the predicted object trajectory to a candidate trajectory, and control the vehicle based at least in part on the relevancy score.