Method and system for vehicle status based advanced driver assistance
The present invention provides a method and system of historical reaction based driver advanced assistance. In this method, a combination of external environment to a vehicle on which the advanced driver assistance system (ADAS) is mounted fetched by forward looking cameras is combined with rear looking camera for internal environment or driver state, is generated. The generated combination is utilized to analyze is there is any critical situation that is upcoming. For providing feedback for such situation, processor within the ADAS fetches current vehicle state by utilizing multiple parameters stored within a storage. The intensity of the feedback is varied upon the current vehicle state of the vehicle.
1. An advanced driver assistance system, wherein the system comprises;
a forward looking first camera, adapted to identify activity and objects in short-range vicinity of the vehicle;
a forward looking second camera, adapted to identify activity and objects in long-range vicinity of the vehicle;
a ranging module, adapted to measure distance to objects in a straight path;
a rear looking third camera, wherein the third camera is configured to monitor driver state;
a storage, configured to store a plurality of vehicle state parameters; and
a processor, configured to receive inputs from the first camera, the second camera, the ranging module, the third camera, and the storage, and wherein the processor is further configured to provide a feedback to the driver for a real-time situation, wherein the intensity of the feedback to the driver is varied based on the current vehicle state determined from the plurality of vehicle parameters, wherein the plurality of vehicle parameters includes anyone or a combination of current brake shoe status, engine throughput, driving angle, steering status, or clutch status.
2. The system of claim 1 , wherein the first camera is a stereo camera having a short focal length.
3. The system of claim 1 , wherein the second camera is a long range narrow field camera having a long focal length.
4. The system of claim 1 , wherein the ranging module is a is a light detection and ranging (LiDAR) unit.
5. The system of claim 1 , wherein the third camera is a charge coupled device camera.
6. The system of claim 1 , wherein the third camera monitors driver state by capturing eye gaze and facial expressions of the driver.
7. The system of claim 1 , wherein the feedback is any one or a combination of an audio feedback, a visual feedback, or a haptic feedback.
8. The system of claim 1 , wherein the ECU gathers the plurality of vehicle parameters through a controller area network (CAN) bus.
9. A real-time driver assistance method, comprising;
gathering current external environment information through a plurality of forward looking cameras connected to a processor;
capturing current driver state information through at least one rear looking camera, connected to the processor;
generating, by the processor a combination of the current external environment and the current driver state information;
fetching, by the processor, a current vehicle state from a storage module, wherein the storage module is configured to store a plurality of vehicle parameters obtained from an electronic control unit (ECU) of a vehicle; and
varying, by the processor, intensity of a feedback to be provided to the driver wherein the variation is based on the current vehicle state based on the plurality of vehicle parameters, wherein the plurality of vehicle parameters includes anyone or a combination of current brake shoe status, engine throughput, driving angle, steering status, or clutch status.
10. The real-time driver assistance method of claim 9 , wherein the plurality of forward looking cameras includes anyone or a combination of a stereo camera, or a long range narrow field camera.
11. The real-time driver assistance method of claim 9 wherein the processor is connected to the storage module through a wireless communication protocol.
12. The real-time driver assistance method of claim 9 , wherein the feedback is any one or a combination of an audio feedback, a visual feedback, or a haptic feedback.
13. The real-time driver assistance method of claim 9 , wherein the intensity of feedback is a mild, a moderate or a severe.
14. The real-time driver assistance method of claim 9 , wherein the ECU gathers the plurality of vehicle parameters through a controller area network (CAN) bus.