System, device, and methods for detecting and obtaining information on objects in a vehicle
System and methods are provided for detecting occupancy state in a vehicle having an interior passenger compartment the systems and methods include analyzing data of the interior passenger compartment to yield at least one probability of a current occupancy state of said vehicle and further analyzing additional data of the interior passenger compartment to yield predicted probabilities of said occupancy state of said vehicle, wherein each probability of the predicted probabilities relate to the probability of changing said current occupancy state to different occupancy state combining the current at least one probability of the current occupancy state with the predicted probabilities of the occupancy state to yield an updated probability of an updated occupancy state of said vehicle; determining the current occupancy state based on said updated probability of an updated occupancy state of said vehicle and generating an output to control one or more devices or applications based on the determined occupancy state.
1. A method for detecting occupancy state in a vehicle having an interior passenger compartment, the method comprising:
using at least one processor to:
analyze data of said interior passenger compartment to yield at least one probability of a current occupancy state of said vehicle;
analyze additional data of said interior passenger compartment to yield predicted probabilities of said occupancy state of said vehicle, wherein each probability of said predicted probabilities relate to the probability of changing said current occupancy state to different occupancy state;
combine said at least one probability of the current occupancy state with said predicted probabilities of said occupancy state to yield an updated probability of an updated occupancy state of said vehicle;
determine said current occupancy state based on said updated probability of an updated occupancy state of said vehicle, wherein the current occupancy state includes determination of a number of passengers in the vehicle; and
generate an output to control one or more devices or applications based on the determined occupancy state.
2. The method of claim 1 wherein the at least one probability of a current occupancy state of said vehicle is in the form of a probability vector and the predicted probabilities of said occupancy state of said vehicle are in the form of a matrix.
3. The method of claim 2 wherein said matrix is a Markov matrix.
4. The method of claim 2 wherein said probability vector is multiplied by said matrix to yield the updated probability of an updated occupancy state of said vehicle.
5. The method of claim 1 wherein said data comprises at least one image of said interior passenger compartment captured by at least one sensing device mounted in said vehicle.
6. The method of claim 5 wherein said at least one image is analyzed using deep neural network (DNN) to determine said current occupancy state.
7. The method of claim 1 wherein said updated occupancy state is estimated based on a weighted average of the predicted probabilities of said occupancy state and the at least one probability of a current occupancy state.
8. The method of claim 7 wherein the weighted average is measured using Infinite Impulse Response (IIR) filters.
9. The method of claim 1 wherein said additional data is obtained from one or more of:
prior knowledge of possible movements in said vehicle; 2D or 3D images of the interior passenger compartment; RF images; identified vibrations of one or more objects; identified micro-vibrations; speckle pattern analysis.
10. The method of claim 9 wherein said additional data comprises one or more of:
vehicle speed; vehicle acceleration; gear position; fuel and/or vehicle units' status; vehicle doors state; vehicle windows state; which door or window is closed or open; information relating to the vehicle seats; seats belt status, air condition state; vehicle interior temperature level, info relating to multimedia; face detection data; motion detection data; depth maps.
11. A system for detecting occupancy state in a vehicle having an interior passenger compartment, the system comprising:
a monitoring system comprising at least one sensing device configured to capture images of the vehicle interior passenger compartment; and
at least one processor, which is in communication with said monitoring system, wherein said at least one processor is configured to:
analyze said captured images of said interior passenger compartment to yield at least one probability of a current occupancy state of said vehicle;
analyze additional data of said interior passenger compartment to yield predicted probabilities of said occupancy state of said vehicle, wherein each probability of said predicted probabilities relate to the probability of changing said current occupancy state to a different occupancy state;
combine said at least one probability of the current occupancy state with said predicted probabilities of said occupancy state to yield an updated probability of an updated occupancy state of said vehicle;
determine said current occupancy state based on said updated probability of an updated occupancy state of said vehicle, wherein the current occupancy state includes determination of a number of passengers in the vehicle; and
generate an output to control one or more devices or applications based on the determined occupancy state.
12. The system of claim 11 wherein said additional data comprises one or more of:
prior knowledge; optical flow.
13. The system of claim 12 wherein said prior knowledge may include one or more of:
the vehicle speed; the vehicle acceleration; gear position; fuel and/or vehicle units' status; vehicle doors state; vehicle windows state; which door or window is closed or open; information relating to the vehicle seats; seats belt status, air condition state; vehicle interior temperature level, multimedia information.
14. The system of claim 11 wherein said monitoring system comprises an illumination source.
15. The system of claim 11 wherein said monitoring system is configured to detect at said interior passenger compartment at least one occupant.
16. The system of claim 15 wherein said monitoring system is further configured to detect one or more of said at least one occupant face; motion; pose.
17. The system of claim 11 wherein said monitoring device comprises a plurality of sensing devices of different types.
18. The system of claim 17 wherein said plurality of sensing devices are selected from a group consisting of:
Radio Frequency (RF) sensor; face detector; motion detector; Ultrasonic sensor, acoustic sensor, pressure sensor, thermal detector.
19. The system of claim 11 wherein said one or more devices or applications are said vehicle one or more devices or applications and are selected from the group consisting of:
one or more alarms; vehicle air-bags; heating, ventilating, and air conditioning (HVAC) systems; vehicle's sound system; vehicle's electronic stabilization control (ESC); infotainment system; vehicle security system; seat belt reminder (SBR) systems; out of position indication (OOP) system; driver monitoring system (DMS); advanced driver assistant systems (ADAS).
20. The system of claim 11 wherein said output is an output signal configured to operate one or more of the following actions:
indicating one or more occupants for safety; activating an alarm to indicate occupancy of a vehicle seat with an unbuckled seatbelt; suppress airbags for out of position; optimizing the vehicle's sound system; optimizing vehicle's electronic stabilization control (ESC); detecting occupant in locked vehicle and automatically open one or more of the vehicle's windows or doors; adjusting one or more multimedia systems; detecting an intruder entering and/or attempting to enter the vehicle cabin; verifying that the driver is awake and concentrated on driving the vehicle.