12879 results about "Driving safety" patented technology

A method and apparatus for collecting, uploading and evaluating motor vehicle operation utilizing on-board diagnostic components (OBDII) and ground positioning satellite (GPS) systems whereby operator identifiable behavior can be rated for driving safety and other characteristics.

The invention discloses an active safety type assistant driving method based on stereoscopic vision. An active safety type assistant driving system comprehensively utilizes an OME information technology, consists of a stereoscopic vision subsystem, an image immediate processing subsystem and a safety assistant driving subsystem and comprises two sets of high resolution CCD (charge-coupled device) cameras, an ambient light sensor, a two-channel video collecting card, a synchronous controller, a data transmission circuit, a power supply circuit, an image immediate processing algorithms library, a voice reminding module, a screen display module and an active safety type driving control module. According to the active safety type assistant driving method, separation lines and parameters such as relative distance, relative speed, the relative acceleration and the like of dangerous objects such as front vehicles, front bicycles, front pedestrians and the like can be accurately identified in real time in sunny days, cloudy days, at nigh and under the severe weather conditions such as rain with snow, dense fog and the like, so that the system can prompt a driver to adopt countermeasure through voice and can realize automatic deceleration and emergency brake at emergency situation, thereby ensuring safe travel in a whole day.

The invention discloses an intelligent driving system and a control method of the intelligent driving system. The system comprises a road condition sensing unit, a control unit, an execution unit and an automatic driving switch. The road condition sensing unit comprises a GPS navigator, a camera and radar. The control unit comprises a receiving module, an assessment module and an execution module. The execution unit comprises an accelerator pedal, a brake pedal, gears and a steering wheel. The receiving module of the control unit receives the information from the road condition sensing system. The assessment module assesses the current road condition according to received information. If the current road condition is suitable for automatic driving, the value of automatic driving speed under which safety can be guaranteed is worked out, and the execution unit controls an execution component to execute corresponding operation according to the assessment result. According to the intelligent driving system and the control method of the intelligent driving system, the utility progress of the automatic driving technology is accelerated, the workload of a driver is reduced, the possibility of misoperation caused by manual driving is reduced, and driving safety is improved.

The invention discloses a cell phone system for vehicle monitoring, which is based on a cell phone control module and a vehicle driving module. Information exchanging of the cell phone and a vehicle is obtained through a communication module. A my-vehicle unit is added in the cell phone, a subunit of vehicle driving is set, and subunits of driving plans, happy driving and / or safe driving are selectively arranged so as to conduct real-time monitoring and control on the vehicle. The cell phone monitoring system can conduct vehicle management conveniently and fast, are complete in functions, more human-friendly and intelligent, meets requirements of different users, improves driving safety of the vehicle, helps users to drive the vehicles better, and effectively finishes journey.

The present invention discloses an onboard speech interactive system, which comprises a speech acquisition module, a core speech recognition module, and a speech feedback module, wherein, the core speech recognition module comprises an acoustic model and pronunciation dictionary module, a context irrelevant syntax module, and a path searching module; the acoustic model and pronunciation dictionary module is designed to establish a mapping table related to accent variation characteristic with a statistical algorithm; the context irrelevant syntax module is designed to construct a syntax and rule structure for the natural continuous speech to be recognized; the path searching module is designed to carry out approximate simplification for the observed probability calculation part with the highest amount of calculation. The present invention implements control and operation of the onboard information system by means of natural speech (including command phrases, conjunctions, and continuous speech that follows certain rules), and thereby can enhance driving safety, and implements intelligent man-machine interaction in the onboard information system, independent of driving safety and dynamic performance of the automobile.

The invention discloses a remote monitoring method and a remote monitoring system based on driving safety. The method comprises the steps that an intelligent automobile data recorder acquires driving behavior information of a driver; the intelligent automobile data recorder performs dangerous behavior analysis on the driving behavior information to acquire dangerous driving behavior information based on the driving safety and submits the dangerous driving behavior information to a cloud server; the cloud server analyzes data on the intelligent automobile data recorder to generate a data report. According to the method, the information such as the driving behavior and an automobile is submitted to the cloud server, so that the whole driving habit of the driver can be marked or graded, monitored and proofed due to logic analysis of the cloud, and the information of the driving behavior and the automobile is effectively monitored and managed; therefore, not only is the driving safety improved, but also the automobile management flexibility is improved. Compared with the prior art, the remote monitoring method and the remote monitoring system have the advantages that only a process of a bad driving behavior which is detected by a vehicle-mounted terminal system is monitored and stored, so that a wireless transmission bandwidth and storage resources of a server are saved.

A unified approach that permits the consideration of different issues and problems that affect driving safety. Particularly, there is proposed herein the creation of a driver safety manager (DSM). The driver safety manager embraces numerous different factors, multimodal data, processes, internal and external systems and the like associated with driving.

Systems and methods provide services relating to driving safety and insurance in connection with insuring selected segments of a population, such as young drivers or elderly drivers. A web-based system provides a web site having a home web page configured to provide links to web pages accessible by a user over the Internet, configured to provide program elements such as an interface to a GPS vehicle monitoring system connected to provide vehicle information to the user via one or more of the web pages and to receive instructions from the user to select features of the GPS system, a display of or link to educational information relating to safe driving, stored by the web-based system or provided by interface to a third party web site; or a display of or link to a tool providing an estimate of an insurance premium discount based on use of the program. A system for providing an insurance price estimate, a computer-implemented method of promoting the sale of vehicle insurance to a population segment, a computer system for providing an insurance premium discount, and a computer program product are also provided.

The invention proposes a lane keeping assist system and a lane keeping assist method. The method comprises the steps of comprehensively detecting a people-vehicle-road driving environment through a lane environment detection module, a vehicle state detection module, a driver driving state detection module and a vehicle and road surface rolling friction coefficient detection module; calculating a corresponding detection signal through a lane keeping control module; judging whether a vehicle deviates from a lane or not; performing transverse lane return-to-center control through cooperative control of an electric power steering system (EPS) and an electronic stability program (ESP), and keeping a longitudinal safety distance through ESP control; and giving an alarm for reminding. Through the technical scheme provided by the invention, the driving safety of vehicle driving is remarkably improved; and the lane keeping is realized through the cooperative control of the EPS and the ESP, so that on the premise of ensuring the driving safety of the vehicle, the working comfort of the lane keeping assist system can be improved to the maximum extent.

The invention discloses an intelligent vehicle-mounted safe driving assistance method and a system. The method comprises the steps of acquiring the driving state information of a driver, acquiring the state information around a vehicle, and sending the above acquired information to a local server to process the information. The system comprises a first camera shooting device, a second camera shooting device, a driver state monitoring system, a driving environment monitoring system and an HUD. The system of the present invention is provided with two camera shooting devices, so that the condition inside a vehicle and the condition outside the vehicle can be monitored at the same time. In combination with the state of the driver of the vehicle and the driving environment, the driver is prompted of paying attention to the driving safety. Based on the above method, a heads-up display (HUD), which does not affect the driving safety of the driver at all, is adopted as a server carrier. Therefore, the information is directly presented for the driver. The occurrence of traffic accidents is avoided maximally.

The e-Mirrors system promotes a new standard of driving safety views device, which upgrade regular glass mirrors from optical reflective to optoelectronic. The e-Mirrors system overcomes lots problems of conventional mirrors: blind spots, poor rear view, poor object approaching view etc. Variety new design vehicles made in the century 21 need higher standard safety view devices to drive in more & more crowded traffic system since population is growing rapidly. Time to change! Trend to go optoelectronic safety view. The e-Mirrors system integrates ultra night vision multi micro CCD cameras, high definition low distortion Lens, multiple mini LCD panels, New concept design camera mounts, video processor (or switch) all in 1. Each component apply unique design, each view setting has its technique. Using e-Mirrors to fill the absence of central rear mirror in trucks and buses large vehicles, drivers will be stress free. Driving everyday becomes easy, safely and fun! After tested in many vehicles, this e-Mirrors system proofs the most creative and the state of the art safety device since the invention of airbag. Its application will significantly reduce the traffic accidents causing by driver's “did not see it” error every year. Airbags now are legal mandatory devices for motor vehicles. However, airbags deploy to reduce lost of lives only after the collision, not able to reduce traffic accidents. Wish this handy e-mirrors system, cost less than airbags, be the second mandatory device for all vehicles soon!

The invention provides a vehicle formation driving control system and method, and belongs to the field of vehicle driving control. The vehicle formation driving control system comprises a head vehicle and at least one rear vehicle. The head vehicle and the rear vehicles are provided with fleet queue control terminals and whole-vehicle controllers. The whole-vehicle controllers control the driving states of the vehicles. The fleet queue control terminals are connected with the whole-vehicle controllers through CAN buses. Each fleet queue control terminal comprises a wireless communication module used for mutual communication among the head vehicle and the rear vehicles; a distance detecting module used for detecting the distance between the vehicle and a front vehicle; a positioning module used for obtaining the real-time information position of itself; and a lane information obtaining module used for obtaining lane information. The vehicle formation driving control system and method maintain the stability of a fleet, enhance the driving safety and help fleet members successfully and rapidly reach destinations respectively; in addition, the system and method are simple and effective, the scheme is mature, the oil consumption can be reduced by as much as 50%, and the frequency of traffic accidents is effectively lowered.

The invention relates to an optimal damping control algorithm of a continuous-control-type semi-active suspension system, and the optimal damping control algorithm is researched and developed for meeting the taking comfort of people and automobile driving safety requirements well. The control algorithm comprises the following steps of: measuring automobile body vibration acceleration signals, automobile speed signals and rotation angle signals by utilizing a sensor; sensing the automobile driving road condition and suspension system damping ratio according to the signals measured by the sensor; according to the measured automobile body and automobile wheel vibration acceleration, obtaining the automobile body and automobile wheel vertical motion speed and the relative motion speed between an automobile body and automobile wheels; determining the optimal damping coefficient and the damping force of a shock absorber required under the current automobile speed and road condition according to automobile parameters, outputting stepping motor rotation angle control signals through a controller, and controlling and regulating the area of the damping throttling hole of a controllable shock absorber, so that the semi-active suspension system achieves the required optimal damping and damping force. The semi-active suspension optimal damping control algorithm provided by the invention is simple and easy to implement, has low requirements for the dynamic property of an actuating element, and is beneficial to the applications and popularization of the semi-active suspension.

The invention discloses a system and a method for guaranteeing driving safety and a method for guaranteeing the safety of vehicles and drivers by utilizing the system. The system for guaranteeing the driving safety comprises a vehicle-mounted terminal arranged in a vehicle and a control center communicated with the vehicle-mounted terminal, wherein the vehicle-mounted terminal comprises a vehicle-mounted terminal processor, an overspeed detection module, a fatigue detection module, a lane departure detection module, a driving recording module, a danger prompting module, an emergent salvation module and a wireless communication module. The overspeed detection module, the fatigue detection module, the lane departure detection module, the driving recording module, the danger prompting module, the emergent salvation module and the wireless communication module are connected with the vehicle-mounted terminal processor respectively. The system and the method for guaranteeing the driving safety have the advantages that dangerous driving behaviors of the drivers can be detected and prompted in real time, a danger prompt can be sent to vehicles at the same road section with a dangerous vehicle, the drivers are prompted to avoid the dangerous vehicle or change lanes, meanwhile dangerous driving information is comprehensively analyzed through the control center, then further suggestions are provided, and the drivers are classified.

A system for determining and executing an autonomous-vehicle vehicle travel route, including a hardware-based processing unit and a non-transitory computer-readable storage medium. The storage medium includes an input-interface module that, when executed by the hardware-based processing unit, obtains factor data indicating factors relevant to determining a vehicle travel route. The storage medium also includes a route-generation module comprising a route-complexity sub-module. The route-complexity sub-module determines, based on the factor data, route-complexity indexes corresponding to respective optional routes. The route-generation module determines the vehicle travel route based on the route-complexity indexes. The storage in various embodiments includes other sub-modules associated with other elements, such as autonomous-driving safety, comfort, stress, pollution, scenery, or infrastructure-accessibility, for determining and executing an autonomous-driving travel route. In some embodiments, the storage includes an autonomous-driving perceptions module and an autonomous-driving control module for modifying vehicle functions in executing the autonomous-driving travel route.

The invention discloses a vehicle driving safety monitoring method, a vehicle driving safety monitoring device and a vehicle driving safety monitoring system. The vehicle driving safety monitoring method comprises the steps of: determining a driving route range between a starting address and a destination address as well as a reasonable time range of arriving at the destination address by a taxi taking server according to the starting address and the destination address contained in a taxi booking request; sending an in-vehicle image acquisition command to vehicle-mounted intelligent equipment if the taxi taking server determines that vehicle position exceeds the driving route range or the vehicle driving time exceeds the reasonable time range according to driving data of a vehicle transmitted by the vehicle-mounted intelligent equipment, so that the vehicle-mounted intelligent equipment acquires in-vehicle image information and transmits the in-vehicle image information to the taxi taking server; comparing the in-vehicle image information acquired in the former period and the later period on the basis of the in-vehicle image information acquired after the vehicle-mounted intelligent equipment responds to the taxi booking request and a passenger gets on the vehicle; and sending alarm information to a safety monitoring server when determining that an unsafe index reaches a preset alarm threshold value, and notifying traffic police near the vehicle to vehicle to check or monitor the vehicle to ensure driving safety.

A method of preventing extravasation of contrast agent during a computed tomography injection. An automatic injector device facilitates ease of accomplishing the method. The method includes establishing the absence of extravasation using an absorbable injectate, such as saline, prior to injecting the contrast agent. The device includes a computerized injector head capable of switching between two injectates without physical human intervention. The device is controlled by a remote operating panel located in a control room that is protected from X-ray radiation. The device includes various software driven safety features that prevent the occurrence of unsafe conditions.

The invention discloses a lane detection method and device. The method comprises the following steps that a region to be detected is determined according to a camera image; a detection result is obtained by detecting lane marks in the region to be detected; the detection result is optimized according to radar data; the positions of center lines of lanes are calculated according to the detection result and curb information detected by a radar; and the calculated positions of the center lines of the lanes are synthesized to obtain a position result of the multiple lanes. According to the lane detection method and device, the lane marks in the two-dimensional image are recognized through a camera, filtration is conducted by the aid of the radar data, and the effect of rapidly and accurately detecting the lane marks is achieved. Moreover, the center lines of the lanes are estimated and traced, so that the capability of dynamically recognizing lane lines of a vehicle is improved, and the automatic driving safety of an automated vehicle is improved.

The invention provides a lane departure control system and a lane departure control method. The lane departure control system detects whether vehicles depart from lanes or not based on a grid coordinate central axis and the distance among the vehicles and lane lines and detects whether obstacles exist within adjacent lane lines or not and whether vehicles come posterolaterally or not by means of digital image processing so as to provide early warning for safety driving. According to the lane departure control system and the lane departure control method, vehicle body information is acquired in real time, and different lane line types, different vehicle speeds and whether drivers have intention to change the lanes or not are specifically analyzed; when the vehicles are detected to have a tendency to depart from the lanes, an early warning system sends out a warning voice signal and a visual signal to remind the drivers of correcting departure of the vehicles or to assist the vehicles to keep the normal driving state after the vehicles change the lanes safely; and when the vehicles depart without being corrected, a vehicle body controller is started to perform safety driving assistance, so that driving safety of the drivers is effectively guaranteed, and accidents are reduced.

The invention discloses an automobile intelligent speed limiting system and an automobile speed limiting method, and relates to the technical field of automobile safety driving assistance. The automobile intelligent speed limiting system and the automobile speed limiting method can improve accuracy of speed limiting identification recognition and improve driving safety of a driver. The automobile intelligent speed limiting system comprises a camera, an intelligent navigation device, an automobile body sensor and a controller, wherein the camera can recognize road traffic identification boards and extract road traffic identification information through the image processing technology, the intelligent navigation device can provide current road information, navigation route information and national or regional traffic road speed limiting law related information in real time, the automobile body sensor can provide automobile body information in real time, a traffic speed limiting identification database is set up in the controller, the input end of the controller is connected with the camera, the intelligent navigation device and the automobile body sensor, and the output end of the controller is connected with an automobile instrument and an engine ECU. The automobile intelligent speed limiting system is used for assisting in limiting the speed of the automobile.

The invention discloses an intelligent gender and emotion recognition detection system and method based on vision and voice. The system comprises an image-based emotion and gender recognition module, a voice-based emotion and gender recognition module, a fusion module and a personalized intelligent voice interaction system, wherein the image-based emotion and gender recognition module is used for recognizing the emotion of a person in a vehicle according to a face image and recognizing the gender of the person in the vehicle according to the face; the voice-based emotion and gender recognition module is used for recognizing the emotion and the gender of the person in the vehicle according to voice; the fusion module is used for matching the gender recognition results, fusing the emotion recognition result, and sending the results to the personalized intelligent voice interaction system; and the personalized intelligent voice interaction system is used for voice interaction. By adopting the system and the method, the gender / emotion recognition accuracy is improved via fused images and voice recognition results; the driving experience and the driving safety are improved via the personalized intelligent voice interaction system; and the using fun of vehicle-mounted equipment and the accuracy of information service are improved by voice interaction.

In a vehicle control system performing collision avoiding control when a collision with a preceding vehicle cannot be avoided by normal running condition control, driving safety is improved by prompting a driver to intervene in the vehicle's control in a reliable manner. When a set switch is turned on in the "cancel" state, the transition to the "in-control, inter-vehicle distance control" sub-state occurs and an inter-vehicle distance control is performed. If a collision with a preceding vehicle cannot be avoided by the inter-vehicle distance control (if the collision alarm flag XA=1), transition to the "in-control, collision alarm" sub-state occurs and a collision alarm is generated. If the acceleration required for avoiding collision is further increased (if the collision avoiding control flag XC=1), the state transits to the "in-control, collision avoiding control" sub-state, and a collision avoiding control is performed.

The embodiment of the invention discloses an automobile driving behavior reminding method and system. The method comprises the steps of obtaining running state data and driving behavior data recorded in an automobile data storage device, judging whether an automobile is in an abnormal driving state or not according to the running state data and the driving behavior data, generating a user driving reminding message and sending the user driving reminding message to the automobile data storage device if yes, and giving out a reminding message through the automobile data storage device based on the user driving reminding message. According to the automobile driving behavior reminding method and system disclosed by the embodiment of the invention, the running state of the automobile can be judged out in real time on the basis of the running state data of the automobile and the driving behavior, a driver is reminded of the various abnormal driving behaviors in the running process of the automobile, and the driver is helped to keep a good driving habit; and besides, the driver is reminded of emergency circumstances and forward accidents possibly occurring in the running process of the automobile, and the driving safety of the driver is improved.

The invention discloses VANET-based early-warning system and early-warning method for driving safety in an expressway, and relates to an early-warning system and an early-warning method for driving safety in an expressway, for realizing real-time and effective safety early-warning on running vehicles. The invention designs a Vehicle ad-hoc network-based early-warning vehicle-mounted system for driving safety in an expressway. By virtue of the system, the different levels of early-warning prompts of the current driving safety of vehicles can be given according to the weather / road conditions (visibility, road slippery degree and the like), the current running state (real-time position and real-time speed) of a vehicle and the running states of 'neighbour' vehicles in a certain space range around the vehicle. On the basis of VANET, the system enables the vehicles to carry put wireless ad-hoc networking in a certain space range and share in-network vehicle running state information, and automatically generates safety early-warning information for every vehicle in the network, thus improving the driving safety of the vehicles on a road. The system and the method disclosed by the invention are applicable to a driving process in an expressway.

The invention relates to an integrated driver early warning device based on vehicle-road cooperation, which comprises a vehicle state sensing module, an external environment sensing module, a master control module, a vehicular wireless communication module and a human-computer interaction module. Output signals of the vehicle state sensing module and the external environment sensing module are inputted into the master control module which is communicated with surrounding vehicles and equipment on the road through the wireless communication module, and the master control module sends out early warnings through the human-computer interaction module. The integrated driver early warning device is capable of acquiring driving intentions of surrounding vehicles by means of vehicle-vehicle communication, thereby recognizing and sending out early warnings of potential dangers. Meanwhile, vehicle-vehicle or vehicle-road communication can be realized, information about the vehicle can be sent to the surrounding vehicles and the roadside facilities, and auxiliary driving safety can be achieved through the vehicle-road cooperation.

The invention belongs to the field of vehicle intelligence design, and in particular relates to a driving assistance system based on artificial intelligence. The system comprises a driving environment sensing unit and a wireless communication unit, wherein the driving environment sensing unit is used for identifying the ambient environment of a vehicle; the wire communication unit is used for communicating between the vehicle and surrounding vehicles and a server terminal; information acquired by the driving environment sensing unit and the wireless communication unit is output to an artificial intelligence unit for processing; and a driving assistance unit realizes the functions of vehicle speed adjustment, vehicle distance adjustment, lane change, overtaking and parking according to processed output control signals. The system can realize the functions of self-adaptive cruise control and automatic parking to relieve the driving fatigue of drivers, and can monitor the ambient environment of the vehicle to actively evade dangers so as to improve the driving safety.

The invention discloses a vehicle-road collaborative vehicle-mounted terminal application system based on LTE-V. In the system, the vehicle maintains wireless short-wave communication with other vehicles and roadside equipment in real time by utilizing the characteristics of low delay and high coverage range of LTE-V communication, and interacts information with a vehicle-road collaborative background server through a 4G network. The method comprises the following steps: receiving real-time state information of other vehicles; The method comprises the following steps of: sensing surrounding traffic conditions by traffic participant real-time information sent by roadside equipment, and judging and analyzing a map road relationship, a road distance and collision time between a vehicle and other traffic participants, traffic signs or events according to the vehicle state information and local lane track point map information; According to different traffic scenes judged by the system, a driver is reminded of different traffic events and early warning information through visualization, so that the driving safety is enhanced, and meanwhile, the traffic efficiency is improved.

The invention relates to the technical field of radio fix radars, in particular to a millimetre wave time-division linear frequency modulation multi-object detection automobile anti-collision radar. The radar of the invention adopts full phase parameter receiving / emitting benchmark signal and time-division and time-sequence asynchronous control to receive / emit a dual-purpose quasi-light integrated medium lens antenna array, and scans the objects possible to be collided on the warning road surfaces by DSP according to lane scanning wave beam; the road situation photographing combined with the vehicle speed and GPS data MCU to control time-division n-passage modulation frequency and waveform millimetre wave linear locking phase frequency modulation; emission is carried out sequentially by R / T2, a circulator, a wave beam switch and the antenna array; echo passes through the antenna array, the wave beam switch, the circulator, the R / T1, low noise high amplifier, subharmonic mixing, middle amplifier and a time-dividing circuit and multi-object signal corresponding matching filter wave and is processed and controlled by MCU at DSP; when a plurality of road barriers are encountered, the orientation, distance and relative speed are determined by DSP restriction virtual warning; three-dimensional images are displayed by a CRT; the closer the distance of the object is, the higher the resolution is; the object which is closest to the vehicle is recognised; sound and light alarm are carried out when the distance is less than safety distance; when the distance is near to the dangerous distance, the vehicle can intelligently avoid the barrier or reduce the speed or brake; the radar of the invention can make a choice according to the control reference road situation, the vehicle speed and the GPS data, thus obviously improving the driving safety of the vehicle.

The invention discloses a multi-vehicle cooperative driving method and apparatus for driverless vehicles based on Internet-of-vehicles. The method includes obtaining the current driving data of a vehicle and road condition information on a real-time basis, receiving shared current driving data and road condition information sent by other driverless vehicles within a predetermined distance, planning the driving decision scheme of the vehicle through analysis according to the current driving data and road condition information of the vehicle and other driverless vehicles, and executing the driving instruction according to the driving decision scheme, wherein the driving decision scheme comprises driving priority and a driving path. The method allows each driverless vehicle to plan a driving decision scheme according to the current driving data and road condition information of the vehicle and other surrounding driverless vehicles on the real-time basis, and the public road utilization rate and driving safety level of each driverless vehicle are improved.

The invention relates to a fatigue driving estimation and early-warning method and device of multi-sensor information fusion. The method comprises the following steps of: detecting the state of the face and eyes of the driver to obtain the face image information of the driver, and acquiring the driveway image information; performing fatigue estimation of the driver according to the obtained face image information of the driver; establishing a mathematical model according to the driveway image information, and judging whether the vehicle is over the line; establishing a mathematical model according to the driveway image information, and judging whether the vehicle deviates for a large angle; estimating the driving safety level according to the information obtained by the abovementioned steps; and making a decision and performing early warning according to the driving safety level. The device comprises a first image acquisition unit, a driver fatigue estimation unit, a second image acquisition unit, an over-line judging unit, a deviation judging unit, a driving estimation unit and a central processing unit. Through the invention, the traffic accidents caused by fatigue driving can be effectively reduced.