257 results about "Road user" patented technology

Disclosed embodiments include technologies for improving safety mechanisms in computer assisted and / or automated driving (CA / AD) vehicles for protecting vulnerable road users (VRUs). Embodiments include various mechanisms to enable early Responsibility Sensitive Safety (RSS) checks for the CA / AD vehicles driving policy to protect in-danger VRUs. Embodiments also include controlled forwarding mechanisms to notify other CA / AD vehicles and roadside infrastructure when a potentially dangerous situation is detected. Other embodiments are described and / or claimed.

A method for assisting an automated vehicle in vehicle control, the method including continuously checking whether the automated vehicle is leaving its operational design domain and whether a comparison metric of the deviation of current environmental conditions from the associated information on a digital map is exceeded. If so, the method further includes requesting an authorization to enter a vehicle-following mode at a control center; and rejecting the request or granting the request by the control center, wherein when the request is granted by the control center, a start of the vehicle-following mode and the road user to be followed are determined. The method additionally includes carrying out a vehicle-following mode by the vehicle at the start determined by the control center behind the road user determined by the control center.

The technology involves pullover maneuvers for vehicles operating in an autonomous driving mode. A vehicle operating in an autonomous driving mode is able to identify parking locations that may be occluded or otherwise not readily visible. A best case estimation for any potential parking locations, including partially or fully occluded areas, is compared against predictions for identified visible parking locations. This can include calculating a cost for each potential parking location and comparing that cost to a baseline cost. Upon determining that an occluded location would provide a more viable option than any visible parking locations, the vehicle is able to initiate a driving adjustment (e.g., slow down) prior to arriving at the occluded location. This enables the vehicle to minimize passenger discomfort while also providing notice to other road users of an intent to pull over.

A method of coordinating road users via a server device which determines instruction data by a central model and transmits the instruction data as action instruction to respective control circuits of the road user, the central model being a virtual image of a real environment created by the server device from environment data, includes when a road user reaches the real environment a local model is created by onboard sensor data and delta data relating to the central model is determined. The delta data is transmitted to the server device by the control circuit of the road user which creates an updated central model by the delta data and the central model. The server device determines and transmits updated instruction data to the road user as readjustment of the instruction data.

The present disclosure relates to methods and systems for spatiotemporal graph modelling of road users in observed frames of an environment in which an autonomous vehicle operates (i.e. a traffic scene), clustering of the road users into categories, and providing the spatiotemporal graph to a trained graphical convolutional neural network (GNN) to predict a future pedestrian action. The future pedestrian action can be: one of the pedestrian will cross a road and the pedestrian will not cross the road. The spatiotemporal graph includes a better understanding of the observed frames (i.e. traffic scene).

The application provides a weak road user trajectory prediction method and system based on motion query enhancement, which comprises the following steps: aligning the current position and direction of each motion sample through a normalization process, clustering the end points of the normalized motion samples, taking the obtained cluster centers as generated static queries, using extended static queries (DSQ) to extend the coverage of the static queries to provide more diverse motion patterns; combining the extraction and fusion of trajectory features and map features to obtain map features and enhanced trajectory features, which are used to obtain the update query features of each layer subsequently, using cross-connection dynamic queries (BDQ) to establish a connection between the dynamic queries output by the shallow and deep decoders, coordinating the query optimization between the decoding layers; and integrating the prediction results of multiple homogeneous models to obtain the final prediction trajectory. The application can more effectively extract features that can reflect the motion trend of weak road users, making the prediction results more accurate.

A method for recognizing road users in an environment of a vehicle includes determining detections that describe potential objects in the environment, identifying faulty detections within the detections, and recognizing the road users on the basis of the detections other than the faulty detections. Identifying the faulty detections further includes, for each detection, checking, on the basis of the spatial position with respect to other detections, whether the detection originates from a reflection effect of a plurality of predefined reflection effects of the radar signal, wherein the plurality of predefined reflection effects describes at least one additional reflection of the radar signal after a first reflection of the radar signal by an object.

This disclosure provides methods, components, devices and systems for automated driving plan notifications. A system at an autonomous vehicle may be configured to obtain first information indicative of one or more road users. The system may be configured to generate a notification message in accordance with the first information. The notification message may include a planned action for the autonomous vehicle. The notification message may also include second information applicable to coordination of the planned action with at least one non-autonomous vehicle road user. The system be configured to transmit, via a transceiver, at least one instance of the notification message to the at least one non-autonomous vehicle road user of after generating the notification message. The at least one instance of the notification message may include respective second information for each road user of the one or more road users.

Method for providing a time-difference probability density (p(t) Δ )), namely the probability density for time differences (t Δ ) to avoid a collision between an ego vehicle and another road user, the procedure including: Providing basic data, namely the distance of the ego vehicle (x 0,ego ) and the other road user (x 0,obj ) from the possible collision area, the speed of the ego vehicle (v 0,ego ) and the other road user (v 0,obj ) the acceleration of the ego vehicle (a 0,ego ) and the other road user (a 0,obj ); where the time difference (t Δ ) depends on the basic data; Determining a domain ( D t Δ ) for one or more basic data points, in particular for the distance of the ego vehicle (x ego), namely a range of values ​​for the basic data(s) in which the time difference (t) Δ ) a predetermined criterion is met, Determining a mean value (µ) depending on I time differences (t) Δ ), each representing a basic data point or a combination of basic data points, in particular a distance (x i,ego ) of the Ego vehicle, are calculated, whereby the I basic data or combinations of basic data are taken into account the domain of definition. ( D t Δ ) be determined; Determining a standard deviation (σ) depending on the time differences (t) Δ ); Determining the time-difference probability density (p(t) Δ )) depending on the determined mean (µ) and the standard deviation (σ).

This utility model discloses a low-temperature resistant and interference-resistant vehicle lamp, including a supporting shell. An isolation cover is fixedly installed on the side of the supporting shell, and a mounting frame is fixedly connected to the outer side of the supporting shell. A fixing screw is inserted into the side of the mounting frame, and an inner isolation plate is fixedly snapped onto the inner side of the supporting shell. Advanced UV electroplating technology concentrates the light pattern, greatly improving luminous efficiency. This not only reduces glare affecting other road users but also increases the illumination distance, allowing drivers to see the road ahead more clearly at night or in adverse weather conditions, effectively ensuring driving safety. The cover is made of UV-resistant material, increasing wear resistance and effectively preventing scratches. During long-term use, even under various harsh environments and external friction, it maintains good appearance and light transmission, extending the lamp's lifespan and reducing the frequency and cost of lamp replacement.

This invention discloses a transparent body system for large mining vehicles, comprising: an image acquisition module deployed at the front and front sides of the large mining vehicle to acquire image information of areas obscured by the vehicle body in real time, obtaining multiple images; an image processing and control module, including a panoramic view generation unit and an AR enhancement unit; the panoramic view generation unit generates a panoramic view by real-time stitching and fusion of the multiple images; the AR enhancement unit performs real-time road condition information recognition and dynamic blind spot marking based on a pre-stored high-precision map of the mining area, generates an AR enhancement layer, and overlays it onto the panoramic view; and a display module installed at a prominent position at the rear of the vehicle, facing outwards, to display the panoramic view with the AR enhancement layer overlaid in real time. This system provides other road users with a transparent view of the vehicle body, fundamentally eliminating safety risks caused by blind spots.

Methods, systems, and computer programs are presented to detect potential collisions of vehicles with a Vulnerable Road User (VRU). The provided solution includes a system designed to detect and warn against potential collisions with vulnerable road users (VRUs) using a combination of hardware and software components. The system employs one or more cameras installed on a vehicle to monitor the surrounding environment. These cameras capture image frames, which are processed by an onboard model to estimate potential collisions through trajectory analysis. In one aspect, the trajectory estimation includes using a bird's eye view transformation, which provides a top-down perspective of the scene to aid in trajectory estimation. Camera parameters are personalized per installation by determining a transformation matrix used to derive the bird's eye view.

A method for informing, in particular warning, a cyclist of potential collisions of the cyclist's bicycle with other road users, including the steps of detecting, in particular receiving, the position of at least one other road user, extrapolating a trajectory of at least one other road user on the basis of the detected position, extrapolating a trajectory of the bicycle, and emitting a signal to the cyclist if a probability of a collision between the bicycle and the at least one other road user, determined on the basis of the trajectories, exceeds a predefined risk threshold value. The invention also relates to a traffic networking unit and a bicycle.

The invention relates to the field of dimming, in particular to a direct-current street lamp flexible dimming method and system based on predictive planning and network collaboration, and the method comprises the steps: (1) collecting data; (2) calculating total supply energy and total demand energy in a period according to the collected data, and calculating to obtain a planning dimming coefficient; (3) calculating a dynamic basic brightness value of the edge node based on the collected data and the collaborative request value of the adjacent node; (4) calculating a final dimming instruction by the edge node: driving the LED light source according to the final dimming instruction; and (5) when the edge node has a fault, the adjacent node executes the compensation strategy, and the fault information is uploaded to the cloud through the network. The method has the beneficial effects that energy is actively planned, and the self-sustaining capability and the energy utilization rate in cloudy and rainy weather are remarkably improved; fine on-demand light supply is achieved, the energy-saving benefit is greatly improved, and safer and more humanized lighting experience is provided for road users; calculation is reduced, and reliability is improved.

The invention relates to a method for anonymizing motion data of a road user (1, 2) equipped with a positioning device, the road user having communication means for transmitting and receiving data to and from a backend server (3) and to other road users (2, 1). The method of the invention is characterized in that the motion data are collected in individual time- and position-dependent data sets and transmitted to the backend server (3), wherein the transmission of at least a part of the data sets is carried out indirectly via at least one other vehicle (1, 2), and / or the position association and / or the time association in at least a part of the data sets is noise-ized before transmission.

The present invention relates to an apparatus for generating a robot travel route plan based on a semantic map for a traffic vulnerable group, comprising: a semantic map generation unit configured to generate a semantic map of an area in which a driving robot is traveling based on real-time position tracking data of the driving robot and semantic data of a surrounding environment; a safe area generation unit configured to calculate heights of a plurality of objects recognized when the driving robot is traveling on the generated semantic map, and generate a safe area for a specific object determined as a traffic vulnerable group among the plurality of objects based on the heights; and a travel route plan generation unit configured to generate a second travel route plan different from the first travel route plan for the safe area in real time when the safe area is generated in a case where the driving robot travels in the first travel route plan.

A data-based driving line map is determined using the road-level map data and driving line data of the road user. The map data includes road data including one or more roads, the roads including a series of nodes, and the driving line data includes a driving line, where the driving line is a series of gestures representing a road user. A first section of the road data is identified as an intersection, and a second section is matched with the driving line data to generate a plurality of road strips, where the road strips include one or more gestures and one node. The road strips are classified as constant or varying based on the lanes counted therein. The consecutive road strips are grouped into road strip sections based on the classification and the lane count, and a map is generated using the road strip sections and the first section. The vehicle is operated using the map as input to the control system.

The present invention relates to a safety system for micromobility vehicles, in particular electric bicycles, comprising a control unit having a V2X device which is configured to receive surroundings information from infrastructure and / or road users in a radio-based manner and to detect a hazardous situation on the basis thereof, and a plurality of output devices which are configured to output different warnings, the output devices being able to be actuated differently by the control unit on the basis of the detected hazardous situation in order to warn the driver and / or the road user of the hazardous situation on the basis of the situation.

The present invention relates to a motor vehicle with a vehicle door and a warning device for visually warning other road users when the vehicle door is open. The vehicle door (2) can be moved from a closed state to an open state and vice versa, wherein the vehicle door (2) has an outer surface (3) comprising the warning device: - an actively controllable, optically modifiable coating (11), wherein the outside (3) of the motor vehicle door (2) is provided with the coating (11) at least in certain areas, - a control device, wherein the control device is configured to control the optically changeable coating (11) depending on the state of the motor vehicle door (2).

The invention relates to a method for determining a navigation route (1) of a vehicle, in which further road users (2) are detected by means of a sensor system (3), and sensor data generated by the sensor system (3) are evaluated by a computing device (4) in order to determine the behavior of the respective road user (2) in the road traffic. The method according to the invention is characterized in that the computing device (4) stores a database (5) comprising behavior limit values; -the computing device (4) compares the behavior observed by the road user (2) with the behavior limit values stored in the database (5) and counts the events (E) on the road section on which the road user (2) stays if the respective observed behavior of the road user (2) exceeds the associated behavior limit value; -the computing device (4) computes a hazard index (GI) for at least one road section as a function of the number and value of events counted over the respective road section over the specified time period; and-the navigation unit takes into account the risk index (GI) assigned to the respective route section for route planning, the route section of which the risk index (GI) exceeds a specified risk index threshold value being avoided in order to determine the navigation route (1).

This application relates to autonomous driving technology, and more particularly to a method and apparatus for planning vehicle trajectories in application scenarios involving vulnerable road users. The method for planning a vehicle trajectory according to one aspect of this application includes the following steps: determining the type of vulnerable road user in the vehicle's direction of motion and the predicted trajectory of the vulnerable road user in the next time period; determining a potential activity area of ​​the vulnerable road user in the next time period based on the type of vulnerable road user and the predicted trajectory; generating a avoidance transition zone surrounding the potential activity area; and selecting the candidate planning trajectory with the minimum cost from multiple candidate planning trajectories for the vehicle in the next time period that can bypass the potential activity area as the optimized planning trajectory, wherein the candidate planning trajectory crossing the avoidance transition zone has an additional avoidance cost compared to the candidate planning trajectory not crossing the avoidance transition zone.

The invention discloses a vulnerable traffic participant collision early warning system and method based on vehicle and road cloud integration, and the method comprises the following steps: S1, collecting data related to a traffic scene through diversified perception means, including edge data, region data and center data; s2, perceptual fusion is carried out on the edge data, the area data and the center data; s3, collaborative decision making is carried out on the fused data through multiple levels, and an event is generated; and S4, converting the event into a specific and executable early warning instruction, and issuing the specific and executable early warning instruction to the target object. According to the invention, the timeliness and accuracy of front collision early warning of vulnerable traffic participants can be improved, and the accident rate is reduced.

The system and method comprise receiving sensor data detected by a vehicle's sensor system, wherein the sensor data includes one or more data fragments located outside the driver's line of sight; classifying, based on the sensor data, one or more data fragments as a vulnerable road user; and determining, based on the sensor data, the location of the vulnerable road user. The system and method also comprise assessing the degree of risk between the vulnerable road user and the vehicle and displaying, via head-up displays, a graphical warning message to alert the driver of the vehicle to the vulnerable road user. The graphical warning message comprises an augmented reality image overlay and a virtual image, the augmented reality image overlay being distinct from the virtual image.

Devices and methods for determining an action in the presence of road users are provided in this disclosure. A device may include a processor. The processor may be configured to access environment information including an indication of a size of road users intersecting with a predetermined route of a vehicle in a road environment. The processor may further be configured to prioritize an anticipated movement of at least one of the road users over a predicted movement of the vehicle within the predetermined route based on the size of road users. The processor may further be configured to determine a vehicle action allowing the anticipated movement of the at least one road user.

The application relates to the technical field of intelligent driving cars, and discloses a PCIE-based intelligent driving car desensitization video data bypass collection system, wherein original camera data output by an on-board camera is transmitted to a collection system and an on-board ECU through two independent transmission paths; a lower computer subsystem of the collection system comprises a data collection host, a PCIE video collection card connected with the data collection host and a network attached storage device; a video desensitization algorithm module, a video encoding processing module and a system state module are arranged in the data collection host; an upper computer subsystem of the collection system comprises a data communication module and an event triggering module; through the interaction of the upper and lower computer subsystems, synchronous collection, desensitization, encoding and packaging of the on-board camera data are carried out, NAS storage and an uploading server are simultaneously carried out, real-time updating and sharing of the data are realized, the performance and safety of the intelligent driving car are improved, the privacy of the car owner and other road users is effectively protected, and high-quality data are provided to support autonomous navigation and decision-making of the intelligent driving car.

The invention relates to a system and method for protecting pedestrians in the event of a frontal collision with a vehicle (50). The system (100) comprises a movable outer structure (20) arranged above an A-pillar (10) of the vehicle (50); a spreading module (200) arranged in an A-pillar (10) of the vehicle (50) and connected to the outer structure (20), the spreading module (200) comprising a spreading element (220) arranged in a folded state within the A-pillar (10); a release mechanism (300) configured to move the spreading element (220) into an unfolded state; and a sensor device (30) configured to detect an impending collision of the vehicle (50) with a pedestrian or another road user and to activate the release mechanism (300).wherein when the spreading module (200) unfolds, the outer structure (20) is raised to create additional deformation space for the head impact of a pedestrian, and wherein when the pedestrian impacts the outer structure (20), the spreading element (220) is plastically deformable to absorb the impact energy of the pedestrian.

An optically transparent discontinuous arrangement of ceramic enamel in a daylight opening of an upright automotive glazing to provide a controlled fracture response of the glazing under impact from a vulnerable road user. The discontinuous arrangement of ceramic enamel may be tailored to offer a more consistent fracture response for the glazing, and provide a fracture response of the glazing that meets automotive regulations.

A communication device for vehicles having of light sources and control means for generating light patterns or light animations directed at individual road users. The light sources are arranged on a common planar carrier in a matrix-like manner and can be controlled individually. An environment sensor unit is provided for detecting road users. A control unit is provided for controlling the light sources, depending on the detected road user, such that a light pattern visualizing the current driving state of the vehicle or a light animation is generated. A cover having a plurality of lamellar struts and strip-shaped passages is connected to the light module on the light emission side, by which a first part of the light generated by the light module is transmitted through the strip-shaped passages and a second part of the light generated by the light module is not transmitted by means of the lamellar struts.

The invention relates to a method for controlling a vehicle (14, 16) in a special situation where an escape route (32) is to be provided for an emergency vehicle (30) in a traffic area (10), in particular an intersection area, with a traffic system (22), wherein the traffic system (22) comprises at least one sensor (26) for monitoring the traffic area (10), a communication device (28) for establishing a communication link (30) with the vehicle (14, 16), and a controller (24) for generating driving instructions for the vehicle (14, 16), wherein the driving instructions can be sent to the vehicle via the communication link (30), wherein the road users (12, 14, 16, 18) and their movements in the traffic area (10) are detected by the traffic system (22), wherein the method comprises the following steps: e) Identifying a special situation in which an escape route (34) for an emergency vehicle (32) is to be provided, f) Creating a prediction of the driving behavior of road users (12, 18) taking into account a behavior prediction provided to the controller (22), in particular stored in the controller (22), for the road users (12, 18) present in the traffic area, g) Creating a driving instruction for the vehicle (14, 16) to provide the escape route (34) taking into account the created prediction of the driving behavior of the road users (12, 18) and sending the driving instruction to the vehicle (14, 16). The invention further relates to a traffic system (22) which can carry out such a method.

This disclosure is directed to interfacing with a driver assistance system of the vehicle based on predictions of trajectories of one or more road users in a surrounding of the vehicle and includes determining the predictions based on instances of the behavioral model associated with each of the one or more road users.