IP Library Granted Patent US 12709933
Granted Patent B2
US 12709933 · App. 18/789,023 · Granted Aug 18, 2026

Vehicle door protection system

Inventors: Veselin Branković (Belgrade, RS); Nenad Simic (Belgrade, RS); Veljko Mihajlović (Belgrade, RS); Darko Tasovac (Belgrade, RS)
Assignee: NOVELIC DOO BEOGRAD—ZVEZDARA
E05F15/43E05F2015/483E05Y2400/54E05Y2900/531
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Quick Facts
Patent No.
US 12709933
App. No.
18/789,023
Granted
Aug 18, 2026
Kind
B2
Abstract

The proposed innovative vehicle door protection system uses one radar sensor per vehicle side for door protection purposes, not being mounted on the vehicle door. They have a 180-degree field of view, and a specific radiation diagram in the elevation plane, pointed in the elevation at an angle larger than 60 degrees. Said proposed system executes related radar processing of the radar point cloud data on the sensing module, without utilizing domain controllers or a central processing unit, while still performing AI processing. Also, said proposed system is advantageously used for radar-based gestures control, supporting hand movements, and/or leg movements.

Claims (50)

1 . A system providing vehicle door protection for vehicle doors of a vehicle, the system comprising:

two mmWave radar sensors, each of the two mmWave radar sensors having a 180-degree field of operation defined by a 6 dB antenna radiation diagram drop, having identical hardware components, and having the same respective hardware arrangement inside the mmWave radar sensors, and having access over a communication network of the vehicle, imposing dynamic control of the mechanical functionality, which enables movement of the vehicle doors, one of the two mmWave radar sensors being disposed on one side of the vehicle and the other of the two mmWave radar sensors being disposed on another side of the vehicle, symmetrically,

wherein each of said mmWave radar sensors is disposed in the area below the vehicle doors, at a distance below 20 cm from the bottom of the vehicle, one 180-degree mmWave sensor on one lateral side of the vehicle, one 180-degree mmWave sensor on the opposite lateral side of the vehicle, both horizontally positioned and displaced less than 50 cm from the medium door distances, the door distance being the distance from the middle of the door to the vehicle end,

wherein the radiation diagram in the elevation plane of said mmWave radar sensors has maximum radiation in the plane, being more than 30 degrees to the ground plane,

wherein both said mmWave radar sensors have digital processing hardware functionality, performing a classification of objects and their angles and their distances and their speeds, in an area taken by openings of the vehicle doors on the particular side of the vehicle, said classification of the objects and their angles and their distances and their speeds being calculated by processing of radar sensor point cloud data and by said digital processing hardware functionality in each particular said mmWave radar sensors,

wherein said mmWave radar sensors having said digital processing hardware functionality calculating whether or not one of the vehicle doors will hit, in the process of opening, said classified object, the process of opening being: an opening start, a moving of the doors and taking a maximum opening position,

wherein said mmWave radar sensors having said digital processing hardware functionality calculate at what particular maximum opening angle one of said vehicle doors are able to be opened to avoid damage of said vehicle door, and

wherein the one mmWave radar sensor on the one side of the vehicle calculates a maximum opening angle of two of the vehicle doors on the one side of the vehicle.

2 . The system according to claim 1 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of a hand, the movement of the hand changing distance from the hand toward said mmWave sensors, within the specific predefined time, and specific predefined maximum and minimum distance change.

3 . The system according to claim 2 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect the movement of the hand, where said detected distance is initiating a procedure to open said vehicle door.

4 . The system according to claim 2 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected distance is initiating a procedure to close said vehicle door.

5 . The system according to claim 2 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected movement direction is initiating a procedure to enlarge an opening angle of said vehicle door.

6 . The system according to claim 2 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected movement direction is initiating a procedure to decrease an opening angle of said vehicle door.

7 . The system according to claim 2 ,

wherein said object classification categories are subtracted into sub-categories related to each of said object classification categories.

8 . The system according to claim 7 ,

wherein said object classification categories are subtracted into sub-categories related to each of said object classification categories.

9 . The system according to claim 1 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where the movement of the hand is changing the angular position of the hand, within the specific predefined time, and specific predefined maximum and minimum angle change.

10 . The system according to claim 9 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected angle is initiating a procedure to open said vehicle door.

11 . The system according to claim 9 ,

wherein said mmWave sensors having said digital processing hardware functionality are configure to detect movement of the hand, where said detected angle is initiating a procedure to close said vehicle door.

12 . The system according to claim 9 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected angle direction is initiating a procedure to enlarge an opening angle of said vehicle door.

13 . The system according to claim 9 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the hand, where said detected angle direction is initiating a procedure to decrease an opening angle of the said vehicle door.

14 . The system according to claim 1 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of a leg, where the movement of the leg is changing a distance position of the leg, within the specific predefined time, and the specific predefined maximum and minimum angle change.

15 . The system according to claim 14 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the leg, where detected said movement is initiating a procedure to open said vehicle door.

16 . The system according to claim 14 ,

wherein said mmWave sensors having said digital processing hardware functionality are configured to detect movement of the leg, where said detected movement is initiating a procedure to close said vehicle door.

17 . The system according to claim 1 ,

wherein said classification of objects is performed by artificial intelligence functionality using pre-calculated point cloud data,

wherein the artificial intelligence functionality is making a classification decision, being previously trained by radar system annotation data, the radar system annotation data being related to the object classification categories, and

wherein the object classification categories are: walls, sidewalks, vehicles, plants, rods, humans, and traffic equipment.

18 . The system according to claim 17 ,

wherein said classification of objects is performed by artificial intelligence functionality using pre-calculated point cloud data,

wherein the artificial intelligence functionality is making a classification decision, being previously trained by radar system annotation data related to the object classification categories, and

wherein the object classification categories are: walls, sidewalks, vehicles, plants, rods, humans, and traffic equipment.

19 . The system according to claim 18 ,

wherein said artificial intelligence functionality uses more than one algorithmic approach: support vector machines (SVM) with decision trees, multilayer perception (MLP), convolutional neural network (CNN), and vision transformer (ViT), being applied on said radar point cloud data.

20 . The system according to claim 1 ,

wherein said mmWave radar sensors have a 4-pin connector.