Intelligent Electric Vehicle to Predict the Accident and Notify before Accident

Abstract

The present invention relates to an intelligent electric vehicle to predict the accident and notify before accident. The present invention identifies the real-time position and the mobile WIFI network connection which is an example of a person being in the car. Through this, the position-detecting vehicle technology, the car also alarms the immediate response team with the fact that a request is being made when a collision is happening and that the victim has been identified using call-based technology. As the crosswalk detection unit senses a pedestrian crossing the road ahead, a stopping system examines the driving behavior of vehicles behind the vehicle to determine whether they are blocking the way, and decides only whether not and stop the vehicle to make way clear for the crossing of the person. The invention also provides process and methods for dynamically defining a safety zone around a user.

Claims

1. An Intelligent Electric Vehicle system to Predict the Accident and Notify before Accident, said system comprising: a smash up predicting arrangement for detecting if automobile occupant has been hurt in an accident involving the vehicle; a vehicle position detecting system for detecting the real-time location of the automobile and a mobile WI-FI, communication end to end workstation which receive a signal predicting injury to the vehicle occupant from the damage predicting system to generate a calling from the vehicle to a call center, wherein said system is configured to connect with a call center and performs notification to an accident immediate response team facility on the basis of the calling and obtain prediction in sequence that the vehicle passenger has been injured from a damage intelligent predicting system and vehicle position in sequence detected by the vehicle location detecting technology and if one who notify an accident reaction facility of an accident, emergency cleaning-up after an mishap and treatment for an injured vehicle occupant and other all requirements immediately complete and path open; a cross detection unit detects a pedestrian who is about to cross a roadway on which a vehicle travels and a behavior detection unit detects a behavior of a nearby vehicle traveling around the vehicle; and a stop determination system determines whether or not to stop the vehicle in view of the detection of the pedestrian who is about to cross the roadway by the crossing detection system and the behavior of the nearby vehicle detected by the behavior detection system.

2. The system according to claim 1, wherein said system includes a car location detection device senses that a passenger of the vehicle has been involved in a vehicle crash and also a contact from an end to the end terminal which senses the real-time location of the vehicles and a mobile WI-FI, and receives an accident signal from a harm prediction device to the occupant to produce a telephone call from the vehicle to a call-center.

3. The system according to claim 1, wherein said system notifies a specified call centre of an accident instant response team facility by telephoning the occupant of the vehicle of the injury resulting from damage intelligent forecast system and position data recorded by the vehicle detection technology and whether someone notifies him or herself and also a cross detection unit detects a pedestrian who is about to cross a roadway on which a vehicle travels and a behavior detection unit detects a behavior of a nearby vehicle traveling around the vehicle and also a stop determination system determines whether or not to stop the vehicle in view of the detection of the pedestrian who is about to cross the roadway by the crossing detection system and the behavior of the nearby vehicle detected by the behavior detection system.

4. The system according to claim 1, wherein said system dynamically defines a safety zone around a user.

5. The system as claimed in claim 1, wherein a second avoidance-amount setting system sets, when the second avoidance-amount setting system sets a controlled amount of a driving control as a second avoidance amount for performing a second avoidance driving action, the advanced control amount smaller than a controlled amount that is set as a first avoidance amount by the first avoidance-amount setting system, and sets, when the second avoidance-amount setting system sets a start timing of the driving control as the second avoidance amount for performing the second avoidance driving action, the start timing later than a start timing that is set as the first avoidance amount by the first avoidance-amount setting system.

6. A method for predicting an accident and notifying before Accident implemented by an intelligent electric vehicle system, said method comprising: receiving by a computing device, real-time safety data including a location of a remote participant device of a user and the receiving by the computing device, real-time driving event data from a remote vehicle; determining, by the computing device, a spatially defined safety zone for the remote participant device based on the real-time safety local and global data and the real-time driving event data; and receiving, by a driving assistance device that includes a travel information acquisition system, details relating to a first information acquisition system, a second information advanced acquisition system, a first determination system, a second determination system, a first avoidance-amount setting system, a second avoidance-amount setting system, and a driving control system.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Many aspects of the present disclosure can be better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, with emphasis instead being placed upon clearly illustrating the principles of the disclosure. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views.

[0028] FIG. 1 shows a block diagram according to various embodiments;

[0029] FIG. 2 is a network diagram showing a vehicle perspective view according to various embodiments;

[0030] FIG. 3 is a block diagram illustrating various sensors of a car or other vehicle according to various embodiments;

[0031] FIG. 4 is another block diagram according to various embodiments;

[0032] FIG. 5 shows a circuit diagram according to various embodiments;

[0033] FIG. 6 shows an example of a system in which a car speeding at 60 MPH is notified according to various embodiments;

[0034] FIG. 7 shows a schematic block diagram of conversion to an a/v file format according to various embodiments; and

[0035] FIG. 8 is a block diagram illustration sensor fusion according to various embodiments.

DETAILED DESCRIPTION

[0036] FIGS. 1 and 2 are graphical illustrations of the configuration of an embodiment of the disclosure. Such damage-prediction systems are typically fitted with CL1, vehicle position-detecting systems, and handsets that can be moved around the vehicle. When we speak to an automobile injury to vehicle drivers, we speak to people involved in a collision. When we relate to vehicle passengers, we are concerned about the vehicle. For a car, CL2 is to detect the location. When the harm has been expected, the contact terminal CL1 issues a call center CL4. Information received from CL5 in associated organ(s) 1 indicates that the harm has occurred, and call center CL4 notifies the relevant tissue based on the news. Then, a member of the associated team can approach the casualty quickly by applying the hypothesis that the car passenger has been harmed and where the vehicle is located, as it's already been stated that the vehicle is hurt.

[0037] FIG. 3 illustrates one instance of the disclosure being adapted to the car. As shown in FIG. 3, the vehicle is equipped with an acceleration sensor used for forecasting harm, and the output of microcomputer 3 is used for damage detecting, respectively. A GPS antenna #5 is contained in the device that is mentioned later. When the GPS antenna is placed into microcomputer 3, a signal is supplied to microcomputer 3.

[0038] Now, with reference to FIGS. 4-6, a crash warning method of an automobile 3 is shown. An MPU board is part of the microcomputer 3 is used. The GPS module and the acceleration sensor are attached to the MPU input side. It uses the same feedback to provide acceleration to the microprocessor to be inputting the vehicle location from the GPS antenna 5; the GPS device is 9 is used to input a position signal to the MPU board. Besides, handheld networking devices, such as a portable telephone, may be attached to the MPU board at the device output side using a connector. For additional purposes, in a wireless network, the cell phone may interact with the MPU 7 via a fine SS (split-spectrum) RF device. The exemplary radio wave system is now being used over cellular networking networks. A handheld handset like a PDA or a cell phone can often be used instead of a portable telephone. Even besides the cell phone, the car may be a contact terminal.

[0039] It is connected to a vehicle battery and a secondary battery, a power source, by way of a bus board on the MPU, which links both to form a DC power supply. The secondary battery 17 is charged by a regenerative braking device, a solar panel, or the engine management circuit that can supply it. In this way, and though battery 15 is out of use, the MPU board will still be operated even after the power supply to the CPU board has been interrupted, making the board operational even after a total power failure. A number is dialed through a portable phone network and wired to a fixed phone number center 25 through a phone line. 25 is supplied with a database (DB) consisting of users' information (ID) and a chart data (DB) database (DB). A vehicle positioning system 25 derives a positioning signal from the portable phone 11.

[0040] Vehicle-to-specific information is obtained from the user database based on the telephone number, and location information is then obtained from the chart. There are each user's details stored or recorded in the database, such as name, age, address, home phone number, and blood type. Each map is kept in the database. Personal details regarding the vehicle location information (and about the user) were returned as part of the outcome of the call center's 25% retrieval. Emergency services and associated organs, such as fire stations, power companies, traffic crews, and the like, are often considered.

[0041] With respect to FIG. 7, various data must be unrolled and repackaged into a widely used PC video and audio format. To remove a new USB key after it is registered, do some post-processing on the SoC beforehand. In the case of a conversion, the USB memory key has to light before it can be removed to warn users. Instead, the feature could be installed on a PC, but the PC must be shown how to execute it first. Alternatively, there is no need to send audio or video data, and no unwrapping is required, as the stream is going through an internet connection.

[0042] With reference to FIG. 8, two display channels at 30 fps may be captured, with a standard definition/symbol rate of 640×480. Equally, the Audio microphone and SoC reside in the same compact module and do all audio and video processing in the same SoC.

[0043] The above-described embodiments of the present disclosure are merely possible examples of implementations set forth for a clear understanding of the principles of the disclosure. Many variations and modifications may be made to the above-described embodiment(s) without departing substantially from the spirit and principles of the disclosure. All such modifications and variations are intended to be included herein within the scope of this disclosure and protected by the following claims.