102 results about "Distracted driving" patented technology

A method and apparatus for combating distracted driving that is the result of using an electronic device in a vehicle inhibits the device or its distracting functions when the device is traveling over walking speed. The system is especially useful in combating distracted driving due to texting.

A drowsy driving prevention apparatus employing a facial recognition technology and a drowsy driving prevention system employing the same is provided. A GPS and a communication unit for informing a central control center or a traffic accident prevention management institute of information about a drowsy driving state and the position of a vehicle are mounted in the drowsy driving prevention apparatus. Thus, traffic accidents can be prevented. A management server is informed of a driver's drowsiness and a driver can access a portable telephone of an external helper over a network using wireless Internet communication technologies, such as Wibro (also called Mobile WiMAX), HSDPA & HSUPA, Long Term Evolution (LTE), Ultra Mobile Broadband (UMB), TD-SCDMA, TRS, GPRS GSM and CDMA. It is therefore possible to prevent traffic accidents caused by drowsy driving in synthetic and multidimensional ways.

Software and computer processor implemented system and method of providing customized automated responses to different types of incoming electronic messages from various contact sources, particularly useful for preventing distracted driving. Here the invention's software, often in the form of an app, runs on a smartphone or other computerized device configured to automatically connect to various peripherals, such as automobile associated Bluetooth peripherals. When operating, the app causes connected peripherals to automatically trigger auto response mode in response to incoming messages. Optionally, different automated responses to be assigned to different peripheral identification codes or different incoming message originators. Various prioritization schemes, such as last peripheral connected dominates, and various ways in which different contact specific automated responses may interact with various peripheral specific automated responses, are also discussed.

The invention discloses a system and method for calculating driving risks and assisting automobile insurance pricing based on multi-source data. The system includes an intelligent mobile internet terminal and a remote server connected with each other; a plurality of data sensing acquisition units and applications are installed in the intelligent mobile terminal; and the remote server is provided with a risk model algorithm system and includes a scene driving risk analysis sub module, a distracted driving model recognition sub module, a user travel behavior analysis sub module and a driving behavior evaluation and grading system sub module. According to the system and method of the invention, data acquired by the intelligent mobile internet terminal and road traffic information acquired by the remote server are analyzed, and the scores of the sub modules are calculated, and automobile insurance pricing is carried out according to the scores. With the system and method of the invention adopted, based on multi-source data acquisition and fusion, the driving behaviors of users are analyzed, and the travel habits, driving habits and driving risks of the drivers can be effectively calibrated, and therefore, theoretical basis and technical support can be provided for driving behavior-based automobile insurance pricing models.

Software and computer processor implemented system and method of providing customized automated responses to different types of incoming electronic messages from various contact sources, particularly useful for preventing distracted driving. Here the invention's software, often in the form of an app, runs on a smartphone or other computerized device configured to automatically connect to various peripherals, such as automobile associated Bluetooth peripherals. When operating, the app causes connected peripherals to automatically trigger auto response mode in response to incoming messages. Optionally, different automated responses to be assigned to different peripheral identification codes or different incoming message originators. Various prioritization schemes, such as last peripheral connected dominates, and various ways in which different contact specific automated responses may interact with various peripheral specific automated responses, are also discussed.

Disclosed are a system and method of regulating access to devices that can distract a driver that is operating a motor vehicle based on received Vehicle-to-Everything communications including Vehicle-to-Vehicle and Vehicle-to-Infrastructure information. One example method may include determining a vehicle is approaching a vehicle movement restriction location requiring a vehicle movement restriction, determining an amount of time associated with the vehicle movement restriction, and determining whether a device located inside the vehicle will be made accessible to a user during the vehicle movement restriction based on the amount of time associated with the vehicle movement restriction.

A solution to mitigate organizational risks and exposure from damages and harm related to distracted driving. The invention includes a system, method, and devices that enable the organization to manage, monitor, and enforce corporate Mobile Device policies, in particular policies to deter and prevent distracted driving and encourage safe alternatives. A system for preventing distracted driving, including an Organizational Policy for anti-distracted driving including a rule and a Mobile Device configured to restrict, disable, or enable a feature of the Mobile Device based upon the rule.

Provided is a lane departure alarming method with a driving distraction state considered. The method comprises the steps that whether a driver is in a distracted driving state at present is judged according to the traveling track of an automobile and the operation information of the driver; distinguished alarming strategies are provided according to the detecting result of distracted driving, and when driving distraction is not detected, the time for lane departure alarming is delayed. A lane departure alarming system for achieving the method comprises an environment sensing unit, an information control unit, a data processing unit, a distraction detecting unit, a road virtual unit and an alarm decision making unit. The yaw angle of the automobile and the rotating speed signal of a steering wheel are acquired from the environment sensing unit and the information control unit, corresponding standard deviation statistical data can be obtained after data processing, and driving distraction detection is conducted. The alarm decision making unit makes alarm decisions, and judges whether the current alarm signal is restrained or not. The lane departure alarming method and system can provide the distraction driver with timely lane departure alarm, and meanwhile avoid frequent false alarm to the focused driver so that disturbing to the driver can be reduced.

A visually-distracted-driving detection device that can detect visually distracted driving with high accuracy. The visually-distracted-driving detection device includes a visually-distracted-driving determination unit that determines that a driver is visually distracted if the direction in which the driver is looking is greater than or equal to a predetermined angle with respect to the front of the driver; and a prohibition unit that, if it is specified that the present position of the vehicle as specified by a present-position specifying unit is within a first predetermined distance from an intersection, prohibits a process that is performed in cases where it is determined that the driver is visually distracted.

The invention discloses a sight line-based driver attention detection method. The sight-based driver attention detection method comprises the five steps of human face 2D key point detection, 3D face feature extraction, sunglasses detection, sight line estimation and attention region detection. The sight line is the best mode for expressing the attention state of a driver. However, when the driverwears the sunglasses, the sight line estimation cannot be carried out. In this way, whether the driver wears the sunglasses or not is detected through a computer vision correlation algorithm. When thedriver wears the sunglasses, the head direction of the driver is adopted to replace the direction of the sight line as the attention direction. According to the invention, the attention state of thedriver is detected through an automatic monitoring system, so that the occurrence of traffic accidents due to distracted driving can be effectively reduced. The good robustness is achieved for different illumination conditions and driver characteristics. Meanwhile, the method is good in real-time performance, and the warning can be timely sent out at the dangerous moment.

The invention relates to a distracted driving behavior early warning method based on a cab near-infrared camera. The method comprises the following steps of (1) face detection of a driver: acquiring the near-infrared image data of a cab scene offline through the vehicle-mounted near-infrared camera, marking the image data face area, and performing the offline training on an Adaboost classifier serving as a face detection classifier, and searching the face interested region by the face detection classifier; (2) dangerous driving behavior detection: based on the face interested region, adding abackground region, and performing the dangerous driving behavior detection by utilizing a deep convolution neural network; (3) dangerous driving behavior early warning: performing the multi-frame confirmation on the dangerous driving behaviors by means of the time sequence data, if the set continuous frame number threshold value reaches is reached, sending a visual early warning signal and / or an auditory early warning signal. By means of the method, the mental dangerous driving behaviors of the driver can be recognized and warned, so that a driver can be reminded to change the distraction behavior immediately, and the driver can keep the driving state in a normal standard, and the driving safety is improved.

The application relates to a method, a device, and a system for monitoring driving behavior, a vehicle and a storage medium. The method comprises the following steps: performing detection on video information which is collected in a vehicle to judge whether the current driving state of a driver is an abnormal driving state; wherein the detection comprises a distracted driving detection and a fatigue driving detection; and performing an early warning operation corresponding to the abnormal driving state if the current driving state is an abnormal driving state. The method for monitoring the driving behavior can realize all-round monitoring for the abnormal driving states of the fatigue driving state and the distracted driving state, and realizes a targeted and effective early warning by performing the early warning operation corresponding to the abnormal driving state, thereby reducing driving risk.

Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

The invention discloses an early warning method and early warning device based on a driving distraction state. The early warning method comprises the following steps: step one, acquiring traffic conditions and road conditions around a vehicle and identifying a driving behavior of a driver; step two, judging whether a distracted driving behavior exists or not according to the driver behavior, and if not, entering step three; if so, entering step 4; step three, judging whether the vehicle deviates from the lane or not based on the traffic conditions around the vehicle and the road conditions, ifnot, not sending out early warning and ending the early warning; if so, prompting the driver by voices, and ending the early warning after the prompt is finished; and step four, predicting an impending collision type and a lane deviation situation, and carrying out early warning of a corresponding level based on the predicted situation. According to the early warning device and the early warningmethod based on the driving distraction state, the risk level of the current driving behavior is judged based on the driving state of the driver, the driving environment and the vehicle attitude information and early warning can be performed according to the response state of the driver, so that traffic accidents are avoided.

The invention provides a driving system used for detecting and reminding driver distraction and a judgment method. The system comprises a processing unit connected with a data acquisition unit, wherein the data acquisition unit is used for acquiring the vehicle traveling state and the driving states of a driver and transmitting acquired data to the processing unit, and the processing unit judges whether the driver is in a distracted driving state or not according to received data information. Various states of the driver at different angles are acquired so that whether the driver is in the distracted state or not can be detected in the following procedure, and a reminder and an early warning can be given to the driver. The system is simple in structure and easy to achieve.

Systems and methods for distracted driving detection are described. A method includes receiving proximate vehicle data about a proximate vehicle proximate to the host vehicle. The method also includes estimating one or more baselines for a predetermined future time for the proximate vehicle from the proximate vehicle data. The method further includes comparing current kinematic data of the proximate vehicle data for the predetermined future time to the one or more baselines. The method includes generating distraction flags associated with the proximate vehicle based on the comparison. The method also includes controlling one or more vehicle systems of the host vehicle based on the generated distraction flags.

The invention provides a system for detecting distracted driving behaviors. The system comprises a stimulus information providing device, a single chip microcomputer, a feedback information acquisition device, a driving behavior data acquisition device and a physiological signal acquisition device. The stimulus information providing device is used for providing visual stimulus information by utilizing light emitting diodes arranged along a vehicle front windshield and on the two sides or tactile stimulus information by utilizing a micro vibration motor arranged on a driver body; the single chip microcomputer is used for controlling a driving instruction of the visual or tactile stimulus information; the feedback information acquisition device is used for acquiring the reaction of a driver to the perception of visual stimulus information or vibration stimulus information by utilizing buttons in a left hand and a right hand of the driver; the driving behavior data acquisition device is used for acquiring the information that the driver operates a brake pedal, an accelerator pedal, a clutch, a gear and a steering light as well as the vehicle speed information; the physiological signal acquisition device is used for acquiring electroencephalogram, electrocardiogram, skin conductance, heart rate and pulse information. The system provided by the invention can effectively detect the influence of the distracted driving behaviors on driving safety according to the driver's reaction time, the hit rate and the like.

The invention provides an automatic driving mode intelligent switching system based on driver state monitoring, and belongs to the technical field of automobile safety. The automatic driving mode intelligent switching system detects the state of a driver in real time through a driving state monitoring system, and automatically turns on an automatic driving system when detecting that the driver isin a fatigued state or a distracted driving state. Compared with the prior art, the automatic driving mode intelligent switching system can effectively prevent traffic accidents caused by driver fatigue and distraction, thereby improving driving safety.

The invention relates to a driver distraction state detection and identification method in a mixed traffic environment. The method comprises the steps of building a mixed driving scene, collecting human eye movement parameter data and driving performance data of a driver, processing the data and performing preferred screening, building an LSTM driver distraction recognition model based on a fusionattention mechanism, recognizing the distraction state of the driver and the like. According to the invention, the distraction driving identification modeling is carried out by using the LSTM algorithm fused with the attention mechanism; the accuracy and robustness of distraction recognition are improved, the blank of distraction recognition of the driver in the mixed traffic environment is filled, the technical problem of road traffic accidents caused by distraction driving of the driver in the driving process in the mixed traffic environment is solved, and the vehicle driving safety of thedriver is improved.

A visually-distracted-driving detection device that can detect visually distracted driving with high accuracy. The visually-distracted-driving detection device includes a visually-distracted-driving determination unit that determines that a driver is visually distracted if the direction in which the driver is looking is greater than or equal to a predetermined angle with respect to the front of the driver; and a prohibition unit that, if it is specified that the present position of the vehicle as specified by a present-position specifying unit is within a first predetermined distance from an intersection, prohibits a process that is performed in cases where it is determined that the driver is visually distracted.

The invention discloses a distracted driving recognition method based on federated learning. Two machine learning technologies of federated learning and a shallow convolutional neural network are adopted, the federated learning mainly utilizes distributed data, a global statistical model is constructed through a deep neural network (DNN), and the recognition accuracy is improved, meanwhile, key parameters are uploaded under the homomorphic encryption condition, and data generated locally is not leaked; a convolutional neural network (CNN) mainly utilizes the advantages of image feature extraction and is responsible for extracting differentiated features of a user side, namely personalization of a local model; through federated learning and homomorphic encryption technologies, the problem of personal privacy protection in a cloud environment is solved, the problem of data islands is effectively solved, and the recognition efficiency is improved, so that the requirements of practical application are met.

The apparatus is for use with a motor vehicle operated by a driver and includes a scanning device and a computing facility. The scanning device, in use, gathers information about the eye activity of the driver. The computing facility determines, based on the information gathered, whether the driver is watching the road. The determination can include one or more of: ascertaining an orientation of at least one of the driver's eyes; and ascertaining an orientation of the head of the driver. The computing facility can be defined by a microprocessor. If the facility determines that the driver is not watching the road, the facility can trigger an alarm state of the vehicle. The apparatus can be employed for persons convicted of driving while texting in a manner analogous to the manner in which breath alcohol ignition interlocks are employed for persons convicted of driving under the influence of alcohol.

The invention discloses a driving behavior real-time analysis and early warning system and method based on AI vision, and the system and method effectively monitor and recognize the driving behavior and state of a forklift driver. The functions of vehicle control, driver identity replacement, fatigue driving, distracted driving, abnormal driving, smoking, calling, water or beverage drinking, unfastened safety belt and the like are achieved through face recognition, accurate driving, safe and standard driving of the forklift is guaranteed, forklift accidents are reduced, and the production efficiency is improved. Compared with a driving behavior monitoring system based on a special sensor class, the system can upload a real-time picture when a warning behavior exists in real time. Comparedwith single driving behavior monitoring, a face recognition quasi-driving control function is added. Compared with an automobile driving behavior monitoring system, the system has the advantages thatthe driving behavior and state can be monitored in real time according to the particularity of forklift operation (such as the situation that a driver needs to check during goods forking and unloadingand the situation that the driver needs to check the road condition during reversing), the price is lower, and installation and popularization are easier.

The invention belongs to a mobile phone signal shielding device. Based on technologies of an existing mobile phone signal shielding device, the device is installed in a driving cab with the help of existing sensing, braking and other auxiliary systems of the automobiles and using high-precision integration between microwave transmission equipment such as wireless communication, Bluetooth, infrared, radar and the like and the automobiles under the premise of not affecting safe driving of a driver, and mobile phone signals within a small range of 0.5 square meter around the driver are shielded. Safe driving of automobiles is managed and controlled through the method, and occurrence of distracted driving behaviors of the driver is reduced. On the basis of functions and characteristics of an existing mobile phone signal shielding device, the mobile phone signal shielding device is additionally provided with a function that a mobile phone of the driver is shielded only when the automobile is in a running state, and that the mobile phone returns to normal automatically when the automobile stops. The shielding range is small and calculated by millimeter, thereby not influencing passengers in the automobile to use mobile phones. The mobile phone signal shielding device for the automobile driver is a great innovation for traffic administrators, and has positive practical significance for reducing occurrence of traffic accidents.