Patent classifications
B60W50/08
METHOD FOR CONTROLLING AN APPROACH OF A VEHICLE, DISTANCE CONTROL SYSTEM, COMPUTER PROGRAM, AND MEMORY UNIT
A method for controlling an approach of a driving vehicle to at least one preceding reference vehicle using an automated distance setting as a function of a setpoint distance between the vehicle and the reference vehicle. The setpoint distance is calculated as a function of an operating position of an operating element of the vehicle, which is actuatable by the driver of the vehicle and controls a drive of the vehicle. The setpoint distance being reduced directly or indirectly by actuating an actuating element of the vehicle, which has an actuating position, is actuatable by the driver of the vehicle, and controls a braking deceleration of the vehicle. A distance control system, a computer program, and a memory unit, as also described.
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.
Human supervision of an automated driving system
The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.
Apparatus and method for providing driving path in vehicle
An apparatus for providing a traveling in a vehicle is provided. The apparatus includes a plurality of sensors configured to obtain information about the vehicle and information about an external object, a steering device, an input device configured to receive a lane change command from a driver of the vehicle, and a control circuit configured to be electrically connected with the one or more sensors, the steering device, and the input device. The control circuit is configured to control the vehicle to travel along a deviated path in a driving path of the vehicle based on at least one of the information obtained by the plurality of sensors or an operation of the steering device, to complete a lane change, and to control the vehicle to travel along a deviated path in a target lane of the changed lane in response to the received lane change command.
Vehicle traveling control apparatus, method and system
A vehicle includes: a plurality of sensor devices that determine a driver state; a driver state determining device that receives detection results from a plurality of sensor devices and determines whether the driver state is a dangerous state; and a driving assistance device that performs lane keeping control and speed control of a vehicle and transmits a network connection request to a management server when the driver state determining device has determined the dangerous state.
Vehicular pedal device
A vehicular pedal device includes a stroke characteristic control unit that controls a stroke characteristic of the vehicular pedal with respect to a pedaling force of a driver. the stroke characteristic control unit changes the stroke characteristic of the vehicular pedal to a stepped stroke characteristic when the vehicle is under automatic speed control, and the stepped stroke characteristic has a stepping force step corresponding to an override stroke position at which override of automatic speed control is started by operation of the vehicular pedal by the driver.
Vehicle control device and storage medium which stores a computer program for vehicle control
A vehicle control device comprises a processor configured to determine a target merge location where the vehicle is to make a lane change from a merging lane to a main lane, in a merge zone on a scheduled route where the merging lane merges with the main lane, as a location that is before the location at the minimum distance to the end point of the merging lane allowing the driver to whom control of the vehicle has been handed over to operate the vehicle for the lane change, and when the vehicle has not completed the lane change upon reaching the target merge location, give the driver a first notification notifying that control of the vehicle will be switched from automatic control to manual control, by using a notifying unit that notifies the driver of information, or by using a vehicle controlling device that controls operation of the vehicle to perform a predetermined operation of the vehicle.
Vehicle driving assist apparatus
A vehicle driving assist apparatus of the invention starts a collision avoidance steering assist control to automatically steer the vehicle to avoid a collision of the vehicle with the obstacle in response to a driver performing a collision avoidance steering operation for avoiding the collision when there is a possibility that the vehicle collides with the obstacle. The vehicle driving assist apparatus cancels the collision avoidance steering assist control in response to the driver performing a counter collision avoidance steering operation against automatically steering the vehicle intended to be achieved by the collision avoidance steering assist control after a first predetermined time elapses from starting the collision avoidance steering assist control. The vehicle driving assist apparatus continues the collision avoidance steering assist control until the first predetermined time elapses from starting the collision avoidance steering assist control even when the driver performs the counter collision avoidance steering operation.
OBJECT IDENTIFICATION
Object identification may be provided herein. A feature extractor may extract a first set of visual features, extract a second set of visual features, concatenate the first set of visual features, the second set of visual features, and a set of bounding box information, determine a number of object features and a global feature for a scene, and receive ego-vehicle feature information associated with an ego-vehicle. An object classifier may receive the number of object features, the global feature, and the ego-vehicle feature information, generate relational features with respect to relationships between each of the number of objects from the scene, and classify each of the number of objects from the scene based on the number of object features, the relational features, the global feature, the ego-vehicle feature information, and an intention of the ego-vehicle.
OBJECT IDENTIFICATION
Object identification may be provided herein. A feature extractor may extract a first set of visual features, extract a second set of visual features, concatenate the first set of visual features, the second set of visual features, and a set of bounding box information, determine a number of object features and a global feature for a scene, and receive ego-vehicle feature information associated with an ego-vehicle. An object classifier may receive the number of object features, the global feature, and the ego-vehicle feature information, generate relational features with respect to relationships between each of the number of objects from the scene, and classify each of the number of objects from the scene based on the number of object features, the relational features, the global feature, the ego-vehicle feature information, and an intention of the ego-vehicle.