B60R21/0134

Method for controlling autonomous driving vehicle

Disclosed herein is a method for controlling an autonomous driving vehicle. The vehicle control method includes detecting an eye level of an occupant adjacent to the window through a first camera which captures an image of an inside of the vehicle, setting an area of the window corresponding to the eye level of the occupant to a first area and setting the other remaining area of the window to a second area, and adjusting light transmittance of the window such that light transmittance of the first area is lower than light transmittance of the second area.

Ladar enabled impact mitigation system

A collision mitigation system makes use of ladar sensors to identify obstacles and to predict unavoidable collisions therewith, and a duplex radio link in communication with secondary vehicles, and a number of external airbags deployable under the control of an airbag control unit, to reduce the forces of impact on the host vehicle, secondary vehicles, and bipeds and quadrupeds wandering into the roadway. A suspension modification system makes use of ladar sensors to identify road hazards, and make adaptations to a number of active suspension components, each with the ability to absorb shock, elevate or lower the vehicle, and adjust the spring rate of the individual wheel suspensions.

Ladar enabled impact mitigation system

A collision mitigation system makes use of ladar sensors to identify obstacles and to predict unavoidable collisions therewith, and a duplex radio link in communication with secondary vehicles, and a number of external airbags deployable under the control of an airbag control unit, to reduce the forces of impact on the host vehicle, secondary vehicles, and bipeds and quadrupeds wandering into the roadway. A suspension modification system makes use of ladar sensors to identify road hazards, and make adaptations to a number of active suspension components, each with the ability to absorb shock, elevate or lower the vehicle, and adjust the spring rate of the individual wheel suspensions.

Vehicle safety system and method implementing weighted active-passive crash mode classification

A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

Vehicle safety system and method implementing weighted active-passive crash mode classification

A vehicle safety system implements a method for helping to protect a vehicle occupant in the event of a frontal collision. The method includes determining a passive safety crash mode classification in response to crash signals received in response to the occurrence of a crash event. The method also includes determining an active safety crash mode classification in response to active safety signals received prior to the occurrence of the crash event. The method also includes determining an active safety confidence factor for the active safety crash mode classification. The method also includes determining the weighted crash mode classification as being the active crash mode classification in response to the active safety confidence factor exceeding a predetermined confidence value. The method further includes determining the weighted crash mode classification as being the passive crash mode classification in response to the active safety confidence factor not exceeding the predetermined confidence value.

Method for controlling door movements of the door of a motor vehicle, and motor vehicle component
11702879 · 2023-07-18 · ·

A method for controlling door motions of a controllable door of a motor vehicle, wherein a control device and a sensor arrangement are assigned to the door, and the door includes a controllable motion influencing device. A motion of a door wing of the door can be controlled and influenced by the motion influencing device to alternate between a closed position and an open position. The sensor arrangement includes a surround sensor and monitors the surroundings of the door. The control device captures the signals from the sensor arrangement and evaluates the movement of an object in the surroundings of the door relative to the door and actively moves the door wing of the door, to prevent a collision with the object or to reduce its effects.

Adjusting interior configuration of a vehicle based on vehicle contents

Systems and methods are provided for improving safety of one or more vehicle occupants. An example method for improving safety of one or more vehicle occupants includes accessing interior vehicle configuration data that is generated by, or derived from data generated by an interior data collection component, the data representing an interior space of a vehicle; determining, by processing the interior vehicle configuration data, location and orientation of one or more vehicle occupants; selecting a plurality of vehicle safety components to be active based on the location and orientation of the one or more vehicle occupants, and setting the plurality of vehicle safety components to an active state in which the plurality of vehicle safety components are deployed, when an emergency condition is detected.

Adjusting interior configuration of a vehicle based on vehicle contents

Systems and methods are provided for improving safety of one or more vehicle occupants. An example method for improving safety of one or more vehicle occupants includes accessing interior vehicle configuration data that is generated by, or derived from data generated by an interior data collection component, the data representing an interior space of a vehicle; determining, by processing the interior vehicle configuration data, location and orientation of one or more vehicle occupants; selecting a plurality of vehicle safety components to be active based on the location and orientation of the one or more vehicle occupants, and setting the plurality of vehicle safety components to an active state in which the plurality of vehicle safety components are deployed, when an emergency condition is detected.

Apparatus and methods for obstacle detection
11697411 · 2023-07-11 · ·

A movable object for responding to an object includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to recognize the object based on one or more heat signals received from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and perform a flight response measure to control the movable object based on the recognized object.

Apparatus and methods for obstacle detection
11697411 · 2023-07-11 · ·

A movable object for responding to an object includes a first passive infrared sensor having a first detection range and a first field of view, and one or more second passive infrared sensors each having a second detection range and a second field of view. The second detection range is longer than the first detection range and the second field of view is smaller than the first field of view. The movable object further includes one or more processors configured to recognize the object based on one or more heat signals received from at least one of the first passive infrared sensor or the one or more second passive infrared sensors, and perform a flight response measure to control the movable object based on the recognized object.