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: 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: 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.

Abstract: A system including vehicle and control system for a vehicle, the control system having one or more controllers and being arranged to: receive a request signal indicative of a request to move the vehicle in a first direction and sensor data indicative of one or more objects in an environment of the vehicle; and output a movement signal to cause an application of torque to one or more wheels of the vehicle to move the vehicle in the first direction in dependence on the request signal and to align the vehicle longitudinally to a detected first object in dependence on the sensor data, the aligned vehicle being positioned at least partly alongside the first object.

Abstract: The driver assist ECU determines whether there is another vehicle on the collision course based on the other vehicle information. ECU determines whether a predetermined execution condition for executing the collision avoidance assist operation is satisfied when it is determined that there are other vehicles on the collision course, and starts executing the collision avoidance assist operation when it is determined that the execution condition is satisfied. ECU changes the execution condition based on an approaching direction determination result as to whether the other vehicle on the collision course is approaching from the direction of the driver's seat of the host vehicle or is approaching from the direction on the passenger seat of the host vehicle, and a visual perception determination result as to whether the probability that the driver of the host vehicle has visually perceived the other vehicle on the collision course is high.

Abstract: An occupant-dependent setting system for a vehicle includes a setting processor, a server apparatus, and first and second authentication processors. The server apparatus includes a server memory that holds personalized setting data regarding an occupant to be on board the vehicle. The first authentication processor authenticates multiple occupants on board the vehicle. The second authentication processor authenticates a combination of the occupants authenticated by the first authentication processor and the vehicle. The setting processor acquires the personalized setting data regarding the occupants authenticated by the second authentication processor, from the server memory of the server apparatus, and provide the vehicle with setting, in accordance with authentication results by the first and second authentication processors with respect to the occupants on board the vehicle.

Abstract: Provided is a mobile object control device including: a storage medium having computer-readable instructions stored therein; and a processor connected to the storage medium, wherein the processor executes the computer-readable instructions to recognize an object which is located near a mobile object, set a risk which is an index value indicating a degree to which the mobile object should avoid entry on the basis of a position of the object, and generate a target trajectory for the mobile object to travel along so as to pass through a point at which the risk is low, and generating the target trajectory includes setting a plurality of first observation points at intervals in a traveling direction of the mobile object, setting one or more second observation points in each of a left direction and a right direction as seen from the mobile object for each of the plurality of first observation points, and searching for a point at which the risk is low on the basis of the risk at an observation point group including

Abstract: Techniques for accurately predicting and avoiding collisions with objects detected in an environment of a vehicle are discussed herein. A vehicle computing device can determine a trajectory for a vehicle based on vehicle state data over a simulation period including a plurality of intervals. The vehicle computing device may determine the trajectory by determining control polic(ies) for at least a part of the simulation based on a control policy interval and determine control(s) and/or updated vehicle state data for at least the part of the simulation based on a current control policy and one or more dynamic integration interval.

Abstract: A vehicle control device has a control unit provided which executes driving support control including emergency stopping control for decelerating and stopping a vehicle when an abnormality occurs in a driver based on a first detection value indicating a state in a vehicle, and the control unit is configured to determine that a risk of contact between the vehicle and an object is equal to or higher than a predetermined level based on a second detection value indicating a state outside the vehicle in a state in which the emergency stopping control is not executed based on the predetermined condition, and to forcibly execute the emergency stopping control regardless of an operation state of the emergency stopping control when it is determined that an occupant of a vehicle other than the driver is performing an emergency operation related to driving of the vehicle based on the first detection value.

Abstract: A vehicle control apparatus includes: a vehicle state judgment unit that judges a transverse driving control state and a longitudinal driving control state of a vehicle when detecting that a torque of a vehicle power source is abnormal, and judges a normal power source when the transverse driving control is in a normal state and the longitudinal driving control is in a failure state; a driving condition judgment unit that judges a driving state corresponding to a predetermined accident risk driving condition by using vehicle information when there is the normal power source; and a vehicle control unit that controls driving of the vehicle by using a target safety torque provided in advance when the driving state of the vehicle corresponds to the accident risk driving condition, where the vehicle is operated using the target safety torque when the driving state is the accident risk driving condition.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine a threat number based on sensor data indicating an obstacle, the threat number representing a risk of an impact between a vehicle and the obstacle; formulate a control barrier function based on sensor data indicating the obstacle; determine a control input based on an expression including the control barrier function and the threat number; and actuate a component of the vehicle according to the control input.

Abstract: A system for reducing damage from a vehicle collision includes an autonomous driving controller configured to calculate a collision index indicating the possibility of collision between a host vehicle and another vehicle approaching the host vehicle and to obtain data necessary to rotate the host vehicle in a stopped state. When the collision index is equal to or greater than a threshold value, the autonomous driving controller calculates a rotation direction and a rotation angle of the host vehicle based on a robustness index indicating the degree of damage to the host vehicle depending on a heading angle of the other vehicle and a collision position of the host vehicle. The autonomous driving controller calculates the rotation direction and rotation angle of the host vehicle so that collision with the other vehicle occurs at a collision position at which a value of the robustness index is maximized.

Abstract: A collision avoidance assistance device and method determine a risk of collision with a structure such as a guardrail present in a driving path using information obtained by a front-side light detection and ranging (LiDAR) sensor and a front camera, and then enable desirable braking control.

Abstract: A system includes an autonomous driving controller configured to calculate data necessary to control rotation of a host vehicle when collision between the host vehicle and another vehicle is expected. The autonomous driving controller determines an expected collision position based on a heading angle of the other vehicle approaching the host vehicle and the center of the host vehicle. The autonomous driving controller determines whether the expected collision position and the position of an occupant of the host vehicle correspond to each other. Upon determining that the expected collision position and the position of the occupant correspond to each other, the autonomous driving controller calculates data necessary to rotate the host vehicle based on a safety index indicating the degree of damage to the occupant depending on a collision position and the position of the occupant.

Abstract: A vehicle driving assistance apparatus executes a braking assistance control to forcibly stop an own vehicle when there is a probability that the own vehicle collides with an object, and executes a stopped-state keeping control to keep the own vehicle stopped when the own vehicle is stopped by the braking assistance control. The apparatus executes the stopped-state keeping control for a standard time when the own vehicle is stopped at a place in an area other than a termination recommendation area in which an execution of the stopped-state keeping control is recommended to be terminated. The apparatus executes the stopped-state keeping control for a time shorter than the standard time when the own vehicle is stopped at a place in the termination recommendation area.

Abstract: A drive support apparatus capable of performing vehicle control at an appropriate timing in accordance with an attribute of a person existing in surroundings of a vehicle is provided. A drive support apparatus according to the present disclosure includes: a detection unit configured to detect a person in an image of surroundings of a vehicle; a calculation unit configured to calculate a positional relation between the vehicle and the person based on the image; an estimation unit configured to estimate an attribute of the person based on the image, the attribute being related to likelihood of an accident; and a determination unit configured to determine a timing of a vehicle control based on the positional relation and the attribute.

Abstract: An assistance system for a road vehicle which can be used on a roadway having one or more lanes, includes a position determination system for determining a lateral relative position of the road vehicle on the roadway. The position determination system has an electrical signal line disposed parallel to the roadway, a signal generator for generating and feeding an electrical signal into the signal line, resulting in a current flow which can be generated in the signal line, an on-vehicle sensor assembly for capturing a field strength and/or a field direction of an electromagnetic field forming about the signal line as a result of the current flow generated, and an on-vehicle evaluation unit, configured to determine, from the captured field strength and/or field direction, a lateral relative position of the road vehicle relative to the signal line. A more reliable position determination system is thus provided.