Patent classifications
B60W2050/146
VEHICLE DRIVE ASSIST APPARATUS
A vehicle drive assist apparatus to be applied to a vehicle executes at least emergency braking control for avoiding collision of the vehicle with a recognized object. The vehicle drive assist apparatus includes a surrounding environment recognition device and a traveling control unit. The surrounding environment recognition device includes a recognizer that recognizes a surrounding environment around the vehicle, and a feature information acquirer that acquires feature information of a target object in the recognized surrounding environment. The traveling control unit centrally controls the entire vehicle. The traveling control unit includes a determiner that determines, based on the acquired feature information, whether the target object has a possibility of hindering traveling of the vehicle. The traveling control unit continues normal traveling control for the vehicle when the target object is determined to have no possibility of hindering the traveling of the vehicle.
AGENT APPARATUS
An agent apparatus includes an agent, an impact detection processor, an occupant information acquisition unit, a vehicle information acquisition unit, a surrounding-environment information acquisition unit, and an agent control unit. The agent is disposed visually recognizable from an outside of a vehicle. The impact detection processor detects an impact on the vehicle. The occupant information acquisition unit acquires, if the impact is detected, occupant information regarding a state of an occupant of the vehicle. The vehicle information acquisition unit acquires, if the impact is detected, vehicle information regarding a state of the vehicle. The surrounding-environment information acquisition unit acquires surrounding-environment information regarding a surrounding environment of the vehicle. The agent control unit is configured to cause the agent to operate on the basis of any of the occupant information, the vehicle information, and the surrounding-environment information and thereby send information toward a surrounding region of the vehicle.
METHOD FOR JOINT PARKING AND SYSTEM THEREFOR
Disclosed is a method for joint parking, the method including selecting a number of target vehicles participating in the joint parking by a reference vehicle, generating joint parking information based on the selected number of the joint parking vehicles by the reference vehicle, transmitting the generated joint parking information to the target vehicle, and controlling the joint parking to be performed based on the joint parking information.
SYSTEMS AND METHODS FOR PREDICTING DRIVER VISUAL IMPAIRMENT WITH ARTIFICIAL INTELLIGENCE
Systems and methods are provided for predictive assessment of driver perception abilities based on driving behavior personalized to the driver in connection with, but not necessarily, autonomous and semi-autonomous vehicles. In accordance with on embodiment, a method comprises receiving first vehicle operating data and associated first gaze data of a driver operating a vehicle; training a model for the driver based on the first vehicle operating data and the first gaze data, the model indicating driving behavior of the driver; receiving second vehicle operating data and associated second gaze data of the driver; and determining that an ability of the driver to perceive hazards is impaired based on applying the model to the second vehicle operating data and associated second gaze data.
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND PROGRAM
An information processing system, an information processing method, and a program that present simulation results so that users can easily examine defect data are provided. An information processing device includes an acquisition unit configured to acquire a plurality of simulation data pieces corresponding to a plurality of simulation conditions, respectively, or a plurality of experimental data pieces corresponding to a plurality of experimental conditions, respectively, a data extraction unit configured to extract a plurality of defect data pieces from the plurality of simulation data pieces or the plurality of experimental data pieces, a classification unit configured to classify the plurality of defect data pieces into a plurality of groups based on feature data calculated from each of the plurality of defect data pieces, and a presentation unit configured to visualize representative data extracted from each group and present the visualized representative data to the user.
DETERMINING PERCEPTUAL SPATIAL RELEVANCY OF OBJECTS AND ROAD ACTORS FOR AUTOMATED DRIVING
Disclosed herein are system, method, and computer program product embodiments for determining objects that are kinematically capable, even if non-compliant with rules-of-the-road, of affecting a trajectory of a vehicle. The computing system (e.g., perception system, etc.) of a vehicle may generate a trajectory for the vehicle and a respective trajectory for each object of a plurality of objects within a field of view (FOV) of the sensing device associated with the vehicle. The computing system may identify objects of the plurality of objects with trajectories that intersect the trajectory for the vehicle and remove from such objects, objects with trajectories that at least one of exit the FOV or intersect with other objects of the plurality of objects within the FOV. The computing system may select, from remaining objects with trajectories that intersect the trajectory for the vehicle, objects with trajectories that indicate a respective collision between the object and the vehicle and assign a severity of the respective collision.
Device for and method of controlling traveling characteristic of vehicle
Disclosed are a device and method for controlling a traveling characteristic of a vehicle. The device includes: a user terminal configured to configure and display a screen for a setting mode, on which a parameter value that determines drivability and traveling characteristic of the vehicle is displayed and from which a driver performs a change and a setting to the displayed parameter value; a controller configured to be provided in the vehicle, to receive a parameter value that results from the driver performing the change and the setting, from the user terminal, and to apply the received parameter value to control logic for controlling a traveling state of the vehicle; and a communication unit configured to be provided in the vehicle and to make a connection between the user terminal and the control unit in such a manner that transmission and reception of the parameter value are possible.
VEHICLE COMMUNICATION CONTROL DEVICE, VEHICLE COMMUNICATION CONTROL METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM
A vehicle communication control device includes a processor configured to acquire disaster information, control a communication state between a vehicle and an information distribution server; and restrict communication between the vehicle and the information distribution server when the vehicle is located in a disaster-stricken area.
Vehicle occupancy-monitoring system
The techniques of this disclosure relate to a vehicle occupancy-monitoring system. The system includes a controller circuit that receives occupant data from an occupancy-monitoring sensor of a vehicle. The controller circuit determines an occupancy status of respective seats in a cabin of the vehicle based on the occupancy-monitoring sensor. The controller circuit indicates the occupancy status of the respective seats on a display located in a field of view of occupants of the vehicle. The display is integral to one of a roof light module, a door panel, or a headliner of the cabin. The system can improve passenger safety by alerting the operator and other occupants about the occupancy status of the passengers.
System and method for generating vehicle speed alerts
Disclosed is a system and method for generating a vehicle speed alert in a driving simulation system that communicates with a remote driving simulator engine and a remote speed optimization engine. The remote speed optimization engine receives data from the vehicle speed alert system after the vehicle speed alert system has received data from the remote driving simulator engine, including the vehicle's simulated distance to a signalized intersection, the time remaining for the simulated traffic light to change, and the current simulated light status (green, yellow, red) of the traffic light. The vehicle speed alert system then receives from the remote speed optimization engine a recommended speed profile for that given instant, and if the driver's current speed does not fall within some maximum difference with the current recommended speed profile, calculates and transmits an alert to an output device to alert the driver of action necessary to achieve the recommended speed profile.