Patent classifications
B60W2554/803
Method and apparatus for confirming blindspot related to nearby vehicle
A method for providing driving assistance by detecting and warning against areas on one or other side of the road which are obscured by vehicles in other lanes is based on a HD map and includes acquiring location and driving speed of a vehicle which is carrying an apparatus applying the method. The system of the method includes at least one sensor, and environmental information as to surroundings is acquired with location. The speeds of other vehicles relative to the driving speed of the vehicle are calculated, and an instruction to the driver is generated the speed of the vehicle is less than a first predefined value but the speed of the vehicle relative to the driving speeds of the other vehicles is larger than a second predefined value. The apparatus applying the method is also disclosed.
Apparatus and method for simulation of autonomous vehicle
A method for simulation of an autonomous vehicle includes preparing a setting of a parameter and an initial value configured to determine a driving condition of the autonomous vehicle and a driving condition of an event to be performed by a surrounding vehicle to implement a simulation environment of the autonomous vehicle. The method further includes performing a normal driving in which the surrounding vehicle travels at a speed and a position that match a predetermined condition set in the parameter to perform the event given, and performing an event driving in which the surrounding vehicle performs the event given based on a setting value of the parameter.
Vehicle driving assist apparatus
A vehicle driving assist apparatus suspends executing a following moving control and starts executing a process of measuring an elapsing time which elapses since suspending executing the following moving control when a control suspending condition that a driver of an own vehicle carries out an accelerating operation of accelerating the own vehicle in order to pass the next lane preceding vehicle, becomes satisfied, resets the elapsing time and start measuring the elapsing time which elapses since resetting the elapsing time when the own vehicle has passed the next lane preceding vehicle before the elapsing time reaches a predetermined time, and restarts executing the following moving control when a control restarting condition that the elapsing time reaches the predetermined time, is satisfied.
COLLISION MITIGATION APPARATUS
A collision mitigation apparatus configured to mitigate a shock to an occupant of a vehicle when a rearward vehicle collides into the vehicle from behind, including a driving unit generating a driving force, and an electronic control unit having a microprocessor and a memory. The microprocessor is configured to perform predicting whether the rearward vehicle collides into the vehicle, and controlling the driving unit so that when it is predicted that the rearward vehicle collides into the vehicle, a difference between a vehicle speed of the vehicle and a vehicle speed of the rearward vehicle reduces and a driving force of a rear wheel is greater than a driving force of a front wheel immediately before the rearward vehicle collides into the vehicle.
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM
An information processing system includes an incorrectness risk determiner, a safe behavior determiner, and a safety determiner. The incorrectness risk determiner makes a determination on whether or not a behavior estimation result of a vehicle carries an incorrectness risk. The safe behavior determiner classifies parameter values each indicating a travel state of the vehicle into multiple ranges based on travel safety. The safe behavior determiner also determines a safe behavior for the vehicle. By the safe behavior, the travel state of the vehicle is adjusted such that the above parameter values fall under a range with high travel safety. The safety determiner determines a behavior control of the vehicle. When the safety determiner acquires a determination including the incorrectness risk from the incorrectness risk determiner, the safety determiner selects the safe behavior. When the safety determiner acquires a determination does not include incorrectness risk, the safety determiner selects the behavior estimation result.
Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle
Determining an instantaneous vehicle characteristic (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined instantaneous vehicle characteristic of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined instantaneous vehicle characteristic of the additional vehicle. In many implementations, the instantaneous vehicle characteristics of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.
Vehicle traveling control device
A vehicle traveling control device includes an electronic control unit and an actuator. The electronic control unit is configured to specify a tracked preceding vehicle and calculate a tracking target acceleration. The electronic control unit is configured to select the tracking target acceleration as a final target acceleration when a blinker operation is not executed, and select a first acceleration equal to or higher than the tracking target acceleration as the final target acceleration when the blinker operation is executed. The electronic control unit is configured to select a second acceleration lower than the first acceleration as the final target acceleration when a vehicle speed of the passing lane preceding vehicle is equal to or lower than that of the host vehicle. The actuator is configured to control the host vehicle such that an actual acceleration of the host vehicle approaches the final target acceleration.
Control system and control method for determining a likelihood of a lane change by a preceding vehicle
A control system that is suitable for use in a host motor vehicle (10) is configured and intended for detecting (S100) another motor vehicle (20), using the road, located in front of the host motor vehicle (10) by means of the at least one surroundings sensor, determining (S106) a lateral movement of the other motor vehicle (20) relative to a lane (12, 16) in which the other motor vehicle (20) or the host motor vehicle (10) is present, and computing (S108) a movement-based likelihood of a lane change by the other motor vehicle (20), based on the determined lateral movement of the other motor vehicle (20). In addition, the control system is configured and intended for determining (S110, S112, S114) an instantaneous traffic situation in accordance with the surroundings data obtained by means of the surroundings sensor, computing (S116) a traffic situation-based likelihood of a lane change by the other motor vehicle (20), based on the determined instantaneous traffic situation, and computing (S118) an overall likelihood of a lane change by the other motor vehicle (20), based on the movement-based likelihood and the traffic situation-based likelihood.
Travel control device
In a case where automatic lane change control is performed, a traveling lane and another lane as a lane change destination are displayed on a display unit based on lane change information, and a guide indication of a lane change starting position or a lane change finishing position is displayed on the displayed traveling lane or the displayed another lane.
Control Of Autonomous Vehicle Based On Determined Yaw Parameter(s) of Additional Vehicle
Determining yaw parameter(s) (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined yaw parameter(s) of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined yaw rate of the additional vehicle. In many implementations, the yaw parameter(s) of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.