15 results about "Driver Distractions" patented technology

The present invention aims to provide a storage unit that can be attached to a bicycle handlebar, allowing for the storage of a smartphone while simultaneously preventing distracted driving. [Structure] To achieve the above objectives, the present invention: Firstly, a storage unit for bicycle handlebars is attached to the handlebars at the center of the handlebars by fastening means such as screws at the mounting point, with a storage compartment protruding from the mounting point toward the rider, the storage compartment being opened and closed with a lid, and the horizontally elongated storage compartment being a storage space for storing a smartphone horizontally. The above is my proposal.

Raw sensor data from a device of a user is collected. The raw data does not include location data for the device. The data is preprocessed to identify driving trips in which the user had the device. The trip data is provided to machine-learning models (MLMs) as input and the MLMs provide as output predictions for each trip's estimated speeds, estimated number of hard brakes and a degree of each hard brake, and estimated degrees of distracted driving. A duration, time of day, and calendar date of each trip is identified. The predictions, duration, time of day, and calendar date are modified into four factor values. The four modified factor values are combined into an overall driver characteristic value and provided to a network service associated with the user for purposes of providing or modifying services provided to the user through the network service based on the overall characteristic value.

This application provides a haptic feedback method and vehicle, applied in the field of vehicle human-machine interaction technology. The method includes: responding to a user's touch operation on a display screen; acquiring functional attribute information of a target button corresponding to the touch operation, the functional attribute information including the button's danger level and / or importance level; determining a target haptic feedback mode and an initial haptic feedback intensity corresponding to the target haptic feedback mode based on the target button's functional attribute information; acquiring vehicle context information, the vehicle context information including at least one of vehicle operating status information, environmental information, and occupant information; correcting the initial haptic feedback intensity based on the vehicle context information to obtain a target haptic feedback intensity; and executing haptic feedback based on the target haptic feedback intensity. This application can effectively reduce the time the driver's gaze remains on the display screen, reduce the risk of driver distraction, and thus significantly improve driving safety and human-machine interaction experience.

This utility model relates to the field of road traffic safety technology, specifically to a road contour warning and guidance light and system with a breathing flashing mode. The system consists of multiple guidance devices installed at intervals, each device including a light-transmitting cover, a light-emitting diode (LED), a control component, a power supply module, and mounting components. Addressing the problems of driver distraction caused by the instantaneous flashing of a single light in existing technologies, and the high energy consumption and short equipment lifespan caused by square wave control signals, this system uses pulse width modulation (PWM) technology to control the brightness of the LED, simulating a breathing rhythm to achieve a gradual brightening and dimming effect. Specifically, a microcontroller generates a PWM signal and adjusts the duty cycle to slowly increase and decrease the brightness within the cycle, forming a soft, gradual sinusoidal PWM signal. This system can enhance the visibility of road contours at night and in inclement weather, reduce visual stimulation, improve driving comfort and safety, and simultaneously reduce energy consumption and extend the lifespan of the light source through dynamic brightness adjustment.

This invention discloses a voice assistant control method, a vehicle, and a storage medium. By monitoring the user's cross-screen transfer intention after waking the voice assistant in real time, and dynamically switching the voice assistant's service focus from the current audio zone screen to the target audio zone screen upon confirmation of the intention, the method simultaneously associates the user's voice input channel with the application list of the target screen. Therefore, this embodiment allows users to operate any visible and speakable function on any screen in the vehicle directly through voice commands without leaving their current seat or repeatedly waking the voice assistant. This embodiment significantly simplifies the cross-screen control operation process, compressing the original multi-step operation of "moving position, re-waking, and issuing commands" into a smooth closed loop of "waking up, expressing intention, and direct control," improving interaction efficiency while effectively reducing the safety risks caused by driver distraction due to frequent operations.

This invention belongs to the field of vehicle-mounted human-machine interaction technology, specifically relating to a vehicle-mounted broadcast interaction method and system based on natural language. It involves acquiring broadcast audio streams, understanding the broadcast content to obtain structured content data, and associating and storing the structured content data with corresponding timestamps to construct a broadcast content time index library. When a user's verbal command is detected, speech recognition and natural language understanding are performed to parse the user's intent and time indication information, thereby determining a backtracking time window and quickly retrieving the corresponding structured content data using the backtracking time window as an index. Finally, based on the user's intent, corresponding target operations are executed and / or response content is generated, and multimodal feedback is performed. This enables interactive operations such as replay, query, or information retrieval, transforming the broadcast from a one-way receiving device into a conversational intelligent terminal. The elimination of manual operation significantly reduces the risk of driver distraction and improves driving safety and information acquisition efficiency.

The application relates to the technical field of vehicles, in particular to a vehicle machine interaction method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining an interaction gesture of a user; when the interaction gesture is single-finger single clicking, performing a control activation operation or a project selection operation; when the interaction gesture is single-finger sliding, moving viewing content based on a single-finger sliding direction; when the interaction gesture is single-finger double clicking, adjusting viewing content or viewing an image; when the interaction gesture is multi-finger pinching, adjusting the viewing content or the viewing image according to a pinching direction; and when the interaction gesture is single-finger long pressing, entering a content editing state. Therefore, the problem that the vehicle machine interaction efficiency is low and the driver is easily distracted to cause a safety hazard is solved, the vehicle machine interaction system is optimized, the interaction system is clearer and easier to understand, the user can quickly get started, and the efficiency of the user in acquiring vehicle information and intelligent interaction is improved.

A human-machine interface (HMI) for a vehicle (1), comprising: an output means (40, 50) for outputting information; a passenger monitoring means (20) for determining the state of at least one passenger in the vehicle (1) and outputting a passenger state signal indicating this, wherein the passenger monitoring means (20) comprises at least one imaging device (25) arranged to output image data corresponding to at least one section of an interior of the vehicle (1) and an image processor (30) arranged to receive the image data, determine the state of the at least one passenger and output the passenger state signal accordingly; and a control means (10) for determining an operating state of one or more systems of the vehicle, wherein the control means is arranged to receive the passenger state signal;wherein the control means (10) is arranged to compile an output from the output means (40, 50) depending on the operating state of one or more systems and the passenger status signal; wherein the image processor (30) is arranged to determine an activity performed by at least one passenger by analyzing the image data in order to identify, using image recognition, one or more objects in the possession of the user and to output the passenger status signal, comprising an indication of the activity; and wherein the control means (30) is arranged to compile the output to a driver based on the activity performed by the at least one passenger in order to prevent distraction or interruption of the activity performed by the at least one passenger.

The embodiment of the application provides a kind of vehicle control method, vehicle and computer readable storage medium, it is related to vehicle control technical field.Therein, vehicle control method includes: obtaining multiple target images in preset time window, wherein, multiple target images are used to describe driver behavior;Using pre-trained distraction detection model, multiple target images are handled, and multiple behavior recognition results are obtained;Based on multiple behavior recognition results, determine target behavior, wherein, target behavior is used to represent the driver behavior with time sequence consistency in preset time window;Based on target behavior, determine driver distraction risk level;Based on driver distraction risk level, determine vehicle control strategy, and according to vehicle control strategy, vehicle control is carried out.The application solves the technical problem that the driver distraction behavior detection accuracy is low in the related art, which leads to inaccurate vehicle control and affects driving safety.

This disclosure presents a driving behavior detection method and a training method for a driving behavior detection system. The method includes: acquiring an image dataset of the user to be detected; acquiring a driving behavior detection type; determining the data to be detected based on the image dataset and the driving behavior detection type; inputting the data to be detected into a joint multi-task driving behavior detection system, where the corresponding model performs behavior detection and outputs the driving behavior detection results for the user. This disclosure enables efficient and accurate joint multi-task detection of two typical non-standard driving behaviors: distracted driving and fatigued driving, laying a solid foundation for improving driving safety. Furthermore, it supports single-task detection, either focusing solely on distracted driving or fatigued driving, improving the flexibility and intelligence of the driving behavior detection process.

This invention discloses a detachable smart bracelet module for use on a steering wheel and a vehicle. The detachable smart bracelet module includes: a smart bracelet body; and a main unit docking station, embedded in the spokes of the steering wheel. When the smart bracelet body is installed in the mounting slot, the module is in in-vehicle interaction mode. The smart bracelet body establishes a physical or wireless connection with the main unit docking station, establishes a data channel with the vehicle's infotainment system, and provides the vehicle's infotainment system with a user identity identifier stored within the smart bracelet body to trigger personalized vehicle settings. The display screen switches to an in-vehicle user interface displaying driving-related information. When the smart bracelet body is removed from the mounting slot, the module is in independent wearable mode. The smart bracelet body disconnects from the vehicle and operates as an independent wearable device. The display screen switches to a standard user interface displaying personal health data. This invention reduces driver distraction and improves driving safety and convenience.

This invention discloses an adjustable light-transmitting automotive windshield system and automotive product. This invention allows for a reduction in the light transmittance of only the adjustable light-transmitting area unit within the control area, while maintaining a high light transmittance for the adjustable light-transmitting area units outside the control area. This weakens the intensity of strong light sources observed by the driver, reducing glare and discomfort caused by intense light emitted from external light sources, thus improving the driving experience and safety. Furthermore, this invention allows for the blocking of strong light from all directions, improving the ability to block strong light and reducing adverse consequences such as limited driver visibility caused by improper blocking. Moreover, the adjustable light-transmitting automotive windshield system operates without driver intervention, reducing the possibility of driver distraction and ensuring driving safety. This invention has wide applications in the automotive technology field.

The application provides a driver distraction detection and recognition method based on wavelet transform, which comprises the following steps of constructing a data set, designing a driver distraction detection and recognition model based on wavelet transform, constructing a multi-classification network model based on multi-label and training, and model evaluation.Through the technical scheme of the application, firstly, an adaptive wavelet transform module for processing complex driving environment is constructed, the module can effectively reduce noise and enhance the capturing ability of the model to important details and edges, thereby improving the accuracy and robustness of classification.Secondly, an attention module is introduced into the backbone network model, wherein a plug-and-play multi-scale fusion attention module MSA is designed, the module can more effectively capture key features by combining multi-scale convolution, channel attention module and spatial attention module, accurately classify easily confused categories, and significantly improve the accuracy and classification efficiency of the overall model.

The provided system and method for deep learning-based 3D driver distraction detection includes steps for generating feature maps and generating 3D keypoint proposals. During model training, a large number of labeled single-frame images (with labeled 3D keypoint coordinates (x, y, z) for each object such as a head, telephone, etc.) are used. The surfaces of the head, telephone, cigarette, etc., can then be reconstructed, and the distances between the head and other objects such as the telephone and cigarette are calculated. Based on those estimated distances, our OMS / DMS system can detect driver distraction behaviors such as telephone calls and smoking.

A vehicle is capable of selecting one driving mode from among a plurality of driving modes including a first driving mode for normal driving and a second driving mode for rough road driving. A control device for the vehicle is configured to monitor a driver of the vehicle and perform a notification regarding distracted driving to the driver and, when the driving mode is the second driving mode, suppress the notification regarding distracted driving compared to when the driving mode is the first driving mode.