B60W30/18109

DECELERATION ASSISTANCE DEVICE, VEHICLE, DECELERATION ASSISTANCE METHOD, AND PROGRAM
20230219571 · 2023-07-13 · ·

A deceleration assistance device including: a target information acquisition unit for acquiring information of a target located in front of a vehicle; a position estimation unit for estimating an estimated position of a deceleration object; a position recognition unit for recognizing a position of the deceleration object; and a control unit for executing, based on the estimated position, first deceleration control of decelerating a vehicle at a first deceleration and executing, based on the recognized position, second deceleration control of decelerating the vehicle at a second deceleration. The control unit executes processing of gradually changing a deceleration of the vehicle from the first deceleration toward the second deceleration when the deceleration control is caused to transition from the first to the second deceleration control, and when a difference exists between the first and second deceleration.

VEHICLE AUTOMATIC DECELERATION CONTROL DEVICE
20230211783 · 2023-07-06 · ·

A vehicle automatic deceleration control device includes a driver imaging camera as a driver state detection device that detects a state of a driver and a control unit that automatically decelerates a vehicle at a predetermined deceleration to stop the vehicle by controlling a brake device when the driver is detected to be in a state in which the driver is unsuitable for driving. The control unit is configured to determine whether a road on which the vehicle is traveling is a motorway, set the predetermined deceleration to a first deceleration when the road is determined to be the motorway, and set the predetermined deceleration to a second deceleration that is higher than the first deceleration when the road is determined not to be the motorway.

Driving scene determining method and apparatus, computer, storage medium, and system

A method and apparatus for determining driving scene, and a vehicle are provided. The method includes: acquiring current driving data collected by a preset collection component; comparing the current driving data with a preset driving data threshold; and determining a current driving scene according to a comparison result between the current driving data and the threshold.

Method and Device for Optimum Parameterization of a Driving Dynamics Control System for Vehicles

A method and device parameterize a driving dynamics controller of a vehicle, which intervenes in a controlling manner in a driving dynamics of the vehicle. The driving dynamics controller ascertains an action depending on a vehicle state. The method includes providing a model for predicting a vehicle state. The model configured to predict a subsequent vehicle state depending on the vehicle state and the action. At least one data tuple is ascertained including a sequence of vehicle states and respectively associated actions. The vehicle states are ascertained by the driving dynamics controller using the model depending on an ascertained action. The parameters of the driving dynamics controller are changed/adjusted such that a cost function which ascertains costs of the trajectory depending on the vehicle states and on the ascertained actions of the respectively associated vehicle states and is dependent on the parameters of the driving dynamics controller is minimized.

VEHICLE CONTROL SYSTEM

A vehicle control system includes a vehicle estimator and a stop position setter. The vehicle estimator is configured to make determination on whether an entering vehicle entering an oncoming lane from an intersecting road is present, and estimate an overall length of the entering vehicle upon determining that the entering vehicle is present. The intersecting road intersects a traveling road where a vehicle to which the vehicle control system is applied is traveling. The stop position setter is configured to set a stop position of the vehicle based on the determination made by the vehicle estimator as to whether the entering vehicle is present and the estimated overall length of the entering vehicle.

VEHICULAR AUTOMATIC EMERGENCY BRAKING SYSTEM WITH CROSS-PATH THREAT DETERMINATION

A vehicular control system includes a sensor disposed at a vehicle and capturing sensor data. The system, as the vehicle is approaching an intersection and responsive to processing by a processor of sensor data captured by the sensor, detects a cross-traffic threat approaching the intersection and maintains a buffer to store a trajectory of the cross-traffic threat. The system, using the trajectory, determines an intersection point between the vehicle and the cross-traffic threat, determines an arrival time at the intersection point for both the vehicle and the cross-traffic threat, and determines a difference between the arrival time of the vehicle at the intersection and the cross-traffic threat. The system, responsive to determining that the difference between the arrival time of the equipped vehicle at the intersection and the arrival time of the cross-traffic threat is less than a threshold amount, controls a safety system of the vehicle.

Vehicle control apparatus
11541879 · 2023-01-03 · ·

A vehicle control apparatus is configured to perform a stop control for stopping a vehicle at a target stop position. The vehicle control apparatus is provided with: a first executor configured to perform a first stop control as the stop control such that a first vehicle is stopped at a first target stop position, which is the target stop position; a second executor configured to perform a second stop control as the stop control such that a second vehicle is stopped at a second target stop position after obtaining a difference between the first target stop position and a first actual stop position at which the vehicle is stopped in the first stop control; and a corrector configured to correct control contents of the second stop control on the basis of the difference, before the second vehicle is stopped at the second target stop position.

SYSTEMS AND METHODS FOR OPERATING AN AUTONOMOUS VEHICLE

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example method for operating an AV includes receiving, from a sensor located on the AV, sensor data that captures a road sign located at a distance from the AV that is operating on a roadway; obtaining, from the sensor data, roadway information indicated by the road sign that corresponds to a segment of the roadway associated with the road sign that is ahead of a current position of the AV on the roadway; determining trajectory-related information for the AV for the distance that is based on the roadway information obtained from the sensor data; and causing the AV to travel in accordance with the trajectory-related information until a determination that the AV has arrived within the segment of the roadway associated with the road sign.

SYSTEMS AND METHODS FOR PROVIDING A SUGGESTED STEERING ACTION INDICATOR TO USER INTERFACE OF VEHICLE
20220410922 · 2022-12-29 ·

Systems and methods are provided to provide a steering indicator to a driver of a vehicle. It is determined whether a first obstacle is in a forward path of the vehicle and whether a second obstacle is present at a side of the vehicle. In response to (a) determining the first obstacle is in the forward path and (b) determining whether the second obstacle is present at the one or more sides of the vehicle, a suggested steering action indicator indicating one or more movements for the vehicle to avoid the first obstacle is provided to a user interface of the vehicle.

RISK SENSITIVE APPROACH TO STRATEGIC DECISION MAKING WITH MANY AGENTS
20220410878 · 2022-12-29 ·

A method is provided for choosing an action of an agent in a first team that competes against a second team. The method includes determining an action, based on first, second and third types of local payoff matrices. The method further includes performing the action. The determining step includes representing, by the first type of local payoff matrices, a payoff to the first team due to a pairwise interaction between agent teammates of the first team. The determining step further includes representing, by the second type of local payoff matrices, a payoff to the first team due to a pairwise interaction between agent opponents from the first team and the second team. The determining step also includes representing, by the third type of local payoff matrices, a payoff to the first team due to a pairwise interaction between agent teammates of the second team.