A brake apparatus and a method of controlling the same includes electronic parking brakes (EPB) installed in the rear wheels of a vehicle, first and second parking drive circuits for operating respective EPB motors, first and second switch parts, and a control unit. The first switch part, positioned between the first EPB motor and first parking drive circuit, includes switches to selectively control current flow between both drive circuits and the first motor. The second switch part similarly controls current flow between both drive circuits and the second motor. The control unit operates both EPB motors through the respective drive circuits. Upon identifying a failure in either drive circuit, the control unit adjusts the corresponding switch part and enables operation of both EPB motors using the remaining functional drive circuit, thereby maintaining brake performance through a degradation control mode.

Electric equipment for a vehicle with an electropneumatic service brake device, in which at least one pneumatic brake control pressure is immediately and directly controlled to the electromagnetic backup valve, which is still being closed by a current, of at least one pressure regulating module in response to an assistance brake request signal regardless of a defect of an electric service brake circuit. For a failure of the electric service brake circuit, the electromagnetic backup valve, which is then in the currentless state, of the at least one pressure regulating module is automatically opened, and the brake pressure is immediately formed in the pressure regulating module based on the at least one pneumatic brake control pressure already present in the pressure regulating module. Thus, the reaction time of a pneumatic redundancy of the electropneumatic service brake device in response to electric defects is reduced.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.