Method for adjusting a vehicle setting to a user, data processing apparatus, computer program, computer-readable storage medium, vehicle setting adjustment system, and vehicle
The disclosure relates to adjusting a vehicle setting to a user. A corresponding method can comprise receiving, by a system comprising a processor, first data comprising a representation of the user, receiving, by the system, second data indicative of a location of a key element for a vehicle relative to the vehicle, identifying, by the system, the representation of the user in the first data by mapping the second data on the first data, and triggering, by the system, adjustment of the vehicle setting based on the representation of the user.
1 . A method for adjusting a vehicle setting to a user, the method comprising:
receiving, by a system comprising a processor, first data comprising a representation of the user in an environment outside of a vehicle;
receiving, by the system, second data indicative of a location of a key element for a vehicle relative to the vehicle;
identifying, by the system, the representation of the user in the first data by mapping the second data on the first data, wherein identifying the representation of the user in the first data comprises estimating at least one detection angle associated with the representation of the user based on the second data and a relative position between a first sensor associated with the first data and a second sensor associated with the second data; and
triggering, by the system, adjustment of the vehicle setting based on the representation of the user.
2 . The method of claim 1 , wherein the second data comprises sensor data associated with at least two detection positions on the vehicle.
3 . The method of claim 2 , wherein mapping the second data on the first data comprises applying a trilateration technique or a triangulation technique on the sensor data associated with the at least two detection positions on the vehicle.
4 . The method of claim 1 , wherein at least one of:
the second data comprises at least one of radar sensor data, lidar sensor data, or image sensor data, or
the first data comprises image data.
5 . The method of claim 1 , wherein identifying the representation of the user in the first data comprises applying an object detection technique on the first data.
6 . The method of claim 1 , further comprising:
estimating, by the system, a body characteristic of the user based on the representation of the user; and
triggering, by the system, adjustment of the vehicle setting based on the body characteristic.
7 . The method of claim 6 , wherein the body characteristic comprises at least one of:
a full body height of the user,
an upper body height of the user,
a full leg length of the user,
a thigh length of the user,
a lower leg length of the user, or
a body weight of the user.
8 . The method of claim 1 , wherein the vehicle setting comprises at least one of an airbag setting, a seat belt setting, a seat setting, or a mirror setting.
9 . A vehicle setting adjustment system, comprising:
at least one first sensor configured for providing first data comprising a representation of a user in an environment outside of a vehicle;
at least one second sensor configured for providing second data indicative of a location of a key element for the vehicle;
an actuator unit configured for adjusting a vehicle setting; and
a data processing apparatus,
wherein the data processing apparatus is communicatively connected to the at least one first sensor, the at least one second sensor, and the actuator unit,
wherein the data processing apparatus receives the first data comprising the representation of the user,
wherein the data processing apparatus receives the second data indicative of the location of the key element for the vehicle relative to the vehicle,
wherein the data processing apparatus identifies the representation of the user in the first data by mapping the second data on the first data, wherein identifying the representation of the user in the first data comprises estimating at least one detection angle associated with the representation of the user based on the second data and a relative position between a first sensor of the at least one first sensor associated with the first data and a second sensor of the at least one second sensor associated with the second data, and
wherein the data processing apparatus triggers adjustment of the vehicle setting based on the representation of the user.
10 . The vehicle setting adjustment system of claim 9 , wherein at least one of:
the at least one first sensor comprises an image sensor, or
the at least one second sensor comprises at least one of a radar sensor, a lidar sensor, or an image sensor.
11 . The vehicle setting adjustment system of claim 9 , wherein the vehicle setting adjustment system is comprised in the vehicle.
12 . The vehicle setting adjustment system of claim 9 , wherein the data processing apparatus:
estimates a body characteristic of the user based on the representation of the user, and
triggers adjustment of the vehicle setting based on the body characteristic.
13 . The vehicle setting adjustment system of claim 12 , wherein the body characteristic comprises at least one of:
a full body height of the user,
an upper body height of the user,
a full leg length of the user,
a thigh length of the user,
a lower leg length of the user, or
a body weight of the user.
14 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
receiving first data comprising a representation of a user in an environment outside of a vehicle;
receiving second data indicative of a location of a key element for the vehicle relative to the vehicle;
identifying the representation of the user in the first data by mapping the second data on the first data, wherein identifying the representation of the user in the first data comprises estimating at least one detection angle associated with the representation of the user based on the second data and a relative position between a first sensor associated with the first data and a second sensor associated with the second data; and
triggering adjustment of a vehicle setting based on the representation of the user.
15 . The non-transitory machine-readable medium of claim 14 , wherein the second data comprises sensor data associated with at least two detection positions on the vehicle.
16 . The non-transitory machine-readable medium of claim 15 , wherein mapping the second data on the first data comprises applying a trilateration technique or a triangulation technique on the sensor data associated with the at least two detection positions on the vehicle.
17 . The non-transitory machine-readable medium of claim 14 , wherein at least one of:
the second data comprises radar sensor data, lidar sensor data, or image sensor data, or
the first data comprises image data.
18 . The non-transitory machine-readable medium of claim 14 , wherein identifying the representation of the user in the first data comprises applying an object detection technique on the first data.
19 . The non-transitory machine-readable medium of claim 14 , further comprising:
estimating a body characteristic of the user based on the representation of the user; and
triggering adjustment of the vehicle setting based on the body characteristic.
20 . The non-transitory machine-readable medium of claim 19 , wherein the body characteristic comprises at least one of:
a full body height of the user,
an upper body height of the user,
a full leg length of the user,
a thigh length of the user,
a lower leg length of the user, or
a body weight of the user.