23 results about "Vehicle guidance" patented technology

The invention relates to a method for steering a vehicle (10) to a stored parking position (15) when a desired parking position (13) is occupied. The method is carried out by means of a system that is connected to the vehicle's sensors. First, the vehicle's sensors determine that the desired parking position (13), where the vehicle (10) is to be parked, is occupied (6) and / or inaccessible. Then, at least one stored parking position (15) along with its associated trajectory (7) is retrieved. Subsequently, the vehicle (10) is steered to the retrieved stored parking position (15) according to a predefined parking criterion using the associated trajectory (7).

This utility model discloses a novel traffic signal light fixture based on a road surface. This application utilizes LED light groups to replace existing road guide lines, significantly improving vehicle guidance. Furthermore, the circuit board of this application has mounting grooves, and the center of the rubber gasket has a through hole corresponding to the mounting groove. The bottom of the LED light group is installed in the mounting groove, and the lower surface of the upper cover has an upwardly recessed central groove, a first groove, and a second groove. A prism cover is placed on the LED light group, with its top positioned within the central groove. This design effectively ensures the normal operation of the LED light group, further improving the guidance effect. In addition, this application has a simple structure, is easy to install, and facilitates later maintenance. By placing the LED light group inside the base and installing it in the mounting bucket, this application effectively ensures smooth traffic flow, greatly improving the efficiency of vehicle guidance and further enhancing road driving safety.

Methods and apparatus for multi-layered integrity validation of vision-based vehicle guidance are disclosed. A disclosed example system includes an image sensor carried by a vehicle, the image sensor to identify light sources of a ground-based pattern display, wherein a spatial arrangement of varying distances between the light sources defines a light pattern array, and at least one processor circuitry to perform a multi-layer integrity validation corresponding to the light pattern array based on the identified light sources for guidance of the vehicle via the light pattern array.

When providing prescribed information regarding vehicles, the aim is to provide the prescribed information at an appropriate time while preventing users from being bothered by the frequent presentation of such information. [Solution] The vehicle control device 100b includes an engine ECU 5 that controls the vehicle power to be turned on by a request from outside the vehicle or by operation of the IG switch 6, and an on-board unit 2 that automatically provides predetermined guidance to the user after the power of the vehicle 1 has been controlled to be turned on. The predetermined guidance is repeated at least at predetermined intervals, and the on-board unit 2 provides the predetermined guidance on the condition that the engine ECU 5 controls the vehicle power to be turned on by operation of the IG switch 6 after the predetermined period has elapsed, while not providing the predetermined guidance on the condition that the engine ECU 5 controls the vehicle power to be turned on by a request from outside the vehicle after the predetermined period has elapsed.

This disclosure provides systems, methods, and devices that support machine learning techniques for vehicle guidance. In one aspect, a method is provided that includes receiving an image frame from an image sensor, determining a projected image frame to correct a vertical axis of the image frame, and generating a top-down representation of the environment based on the projected image frame. The projected image frame may be aligned with the top down representation's vertical axis and may be projected using a cylindrical family projection. The top-down representation may be produced by assembling depth and context matrices from vertically aligned pixels in the projected image frame.

An example operation includes one or more of processing, by at least one processor on a vehicle, a query related to a sign proximate a road that the vehicle is traveling on using a first artificial intelligence (AI) model deployed on the vehicle to generate contextual information related to the sign, sending, by the at least one processor, the query and the contextual information to a second AI model deployed on a server off the vehicle, processing, by the server, the query and the contextual information using the second AI model, generating, by the server, a response related to the query and the contextual information, sending, by the server, the response to the at least one processor, and providing, by the at least one processor, the response to the vehicle.

The embodiment of the application relates to an automatic start-stop system of an intelligent networked vehicle, and the system comprises a self-vehicle perception module, a vehicle networking communication module, a data storage module, a strategy decision module and a start-stop execution module; the self-vehicle collection module is used for collecting self-vehicle state data; the self-vehicle perception module is used for continuously perceiving other traffic participants around the current vehicle; the vehicle networking communication module is used for receiving front road congestion data, front road signal lamp data and vehicle guiding data; the data storage module is used for storing self-vehicle state, target perception, congestion, signal and guiding data sets; the strategy decision module is used for judging whether an automatic start-stop condition is met according to the data sets on the storage module and sending a start-stop control instruction to the start-stop execution module when the judgment result is that the condition is met; and the start-stop execution module is used for controlling the current vehicle to perform corresponding start-stop operations according to the start-stop control instruction. The application can improve the energy-saving and emission-reducing performance of the vehicle and improve the start-stop configuration flexibility.

Techniques for managing pedestrian and vehicular congestion are described herein. In an example, a congestion event at a location is identified. The congestion event may be a sporting event, entertainment event, road construction event, etc. A primary route to or from the congestion event is identified. In examples, a primary route conveys traffic to the location, and may be associated with commencement of the event. Alternatively or subsequently, a primary route conveys traffic away from the location, and may be associated with a conclusion of the event. A secondary route that could lessen traffic of the primary route is identified. In a first example, durations of vehicle traffic lights and pedestrian walk / don't walk signs are adjusted to encourage and to increase usage of the secondary route. In a second example, the secondary route is promoted by updating digital signage to send traffic on the secondary route.

This application discloses a method for dynamically controlling the capacity of highway service areas to improve mainline traffic efficiency. The method includes: acquiring mainline traffic operation data and service area operation data; determining whether to activate a control strategy based on a first preset condition; the first preset condition includes: activating the control strategy when the ratio of actual traffic flow to maximum road capacity exceeds a preset road traffic saturation threshold, and the average vehicle speed is lower than a preset speed threshold; if activated, implementing a vehicle guidance or closure decision for the service area based on its saturation, and issuing corresponding information prompts through an information dissemination device; the decision-making process includes: calculating the ratio of actual usage to maximum service capacity of the service areas in both directions, and implementing a vehicle guidance decision when at least one ratio is less than a preset saturation threshold; and implementing a closure decision when both ratios reach or exceed the preset saturation threshold. This application can improve mainline traffic efficiency and ensure safe operation.

The application discloses a kind of unmanned aerial vehicle guidance methods, device, equipment and medium based on recursive sliding mode, it is related to unmanned aerial vehicle flight control technical field, including: the guidance channel of unmanned aerial vehicle is decomposed into horizontal channel and vertical channel;Target recursive sliding surface is respectively constructed in horizontal channel and vertical channel, and equivalent control item is constructed according to target recursive sliding surface, and switch compensation item of sliding mode controller is generated according to external disturbance;In vertical channel, the gravity compensation item of unmanned aerial vehicle is determined, and the angle of descent bias control amount is calculated according to the angle of descent constraint of unmanned aerial vehicle;Equivalent control item, switch compensation item, gravity compensation item and angle of descent bias control amount are superposed to obtain target guidance instruction, and target guidance instruction is used to guide unmanned aerial vehicle.By generating switch compensation item according to external disturbance, dynamic robust suppression to target maneuver and environmental disturbance is realized, and the precision of unmanned aerial vehicle guidance is improved.

The present application provides an automatic valet parking system and an automatic valet parking method. A processing circuit of the automatic valet parking system acquires environmental information of each section in a parking lot in which automatic valet parking is performed. The processing circuit determines whether there is a non-permitted section in which action control based on sensing information of a vehicle-mounted sensor is not permitted based on the environmental information of each section. In addition, the processing circuit generates a travel route for guiding a vehicle to a destination using sensing information of an infrastructure sensor. In a case where there are multiple candidates for the travel route, the processing circuit preferentially selects a travel route in which the number of non-permitted sections is smaller.

This invention discloses a traffic control and guidance system and method based on ant colony optimization, belonging to the field of road traffic control technology. It addresses the problem that existing methods, particularly neural network models, primarily focus on the individual route conditions of multiple branching routes at intersections on one-way roads, resulting in low information fusion between various traffic elements. The method includes identifying dynamic vehicle characteristics within the road network, pre-constructing a road network optimization model based on ant colony optimization combined with deep learning, and performing cluster solution decision analysis on the pheromone diffusion function. In this invention, by pre-constructing a road network optimization model based on ant colony optimization combined with deep learning, the coordinated optimization of traffic signal control and vehicle guidance is achieved. By outputting optimized traffic signal control strategies and optimized vehicle path strategies, signal timing and guidance paths can work together to improve the operational efficiency of the traffic system and ensure the accuracy and effectiveness of the guidance strategy.

An assistance system influences an asleep and / or awake state of a vehicle occupant to at least temporarily take over a vehicle guidance function by detecting the asleep and / or awake state of the vehicle occupant using a detection device to generate takeover capability information, detecting, receiving, and / or generating destination arrival information, at least temporarily influencing the asleep and / or awake state of the vehicle occupant by an influencing device, such that there is a defined minimum takeover capability of the vehicle occupant to take over a vehicle guidance function for the vehicle occupant for at least a portion of the journey and / or travel time at least over a portion of the journey and / or travel time.

The embodiment of the application provides a vehicle induction data generation method, comprising: generating a plurality of map feature data of a target road section according to map data of the target road section, a plurality of vehicle behavior data and a plurality of traffic flow interaction data; determining a map feature data set of each vehicle behavior data according to a mapping relationship between each vehicle behavior data and each map feature data, wherein each map feature data set comprises a plurality of map feature data; and performing matching on the map feature data set of each vehicle behavior data and the map data of the target road section to generate target vehicle induction data of the target road section. The embodiment of the application provides a vehicle induction data generation method, device and electronic equipment, which can generate vehicle induction data to improve the accuracy of the map, thereby improving the humanized driving function of the autonomous vehicle.

This application discloses a method for dynamic vehicle tracking and coordinated guidance control in tunnels. The method includes: S1: multi-source information holographic perception and fusion; S2: tunnel digital twin construction and real-time synchronization; S3: situational analysis and risk prediction based on the digital twin; S4: dynamic collaborative guidance strategy generation, with the optimization objective of minimizing the total virtual cost of the system. Based on the output of S3, personalized vehicle guidance strategies are generated for vehicles in the tunnel, and tunnel environment control strategies are generated in conjunction; S5: precise guidance command issuance and execution feedback. This application, by deploying a multi-source heterogeneous perception network including radar-visual integrated machines, environmental sensors, and V2X communication, and employing advanced spatiotemporal registration and data fusion algorithms, constructs a unified real-time data base covering individual vehicle trajectories, traffic flow status, tunnel environment, infrastructure status, and driver micro-states. This breaks through the limitations of traditional single perception methods and provides reliable data support for refined management.

A vehicle guidance system for a motor vehicle is configured to determine a complexity indicator in relation to the complexity of a driving situation of the motor vehicle and to determine one or more trigger conditions as a function of the complexity indicator. The vehicle guidance system is further configured to cause an automated emergency stop of the motor vehicle if one or more trigger conditions occur.

The invention relates to a vehicle guidance system for providing a driving function for automatic longitudinal guidance of a vehicle. The vehicle guidance system is configured to determine data about a first signal unit which is located ahead in a driving direction of the vehicle. The vehicle guidance system is further configured to operate the driving function in an automatic mode or in a manual mode at the first signal unit depending on the data about the first signal unit, wherein in the automatic longitudinal guidance of the vehicle the first signal unit is automatically taken into account in the automatic mode and the first signal unit is only taken into account after a confirmation by a user of the vehicle in the manual mode.

In some embodiments, a motorized, terrestrial vehicle has wheels and steering arms on the vehicle's left side, wheels and steering arms on the vehicle's right side, and a control system that selectively configures each steering arm to be in either a raised, disengaged configuration or a lowered, engaged configuration to guide the vehicle through a fork in a vehicle path. An outer curb roller of an engaged steering arm engages with a corresponding curb of the vehicle path to guide the vehicle in that direction, while an outer curb roller of a disengaged steering arm does not engage with a corresponding curb of the vehicle path, thereby allowing the vehicle to be guided in the other direction. The control system may guide the vehicle based on symbols (e.g., barcodes) read by the vehicle's symbol reader(s). The vehicle may be an electric vehicle that receives electrical power from the vehicle path.

Method for moving a motor vehicle to a secure area. The method for moving a vehicle to a secure area comprises: - detection (E2), at a time of detection, by a monitoring device, of a serious malfunction of the traction battery; then - transmission (E3) to a user, by an alert device, of a notification of a serious malfunction of the traction battery; then - determination (E4), by means of a location device, of a route enabling the motor vehicle to be moved from its current position to a secure area; then - transmission (E5) of the route to the vehicle user and / or to a vehicle guidance system; then - command (E6) of a movement of the vehicle along the route to the secure area, the movement being able to be commanded by a driver of the motor vehicle, or the movement being able to be at least partially automated. Figure for the abbreviation: 2

A system for guiding a vehicle is provided. The system includes a plurality of paths on a surface, where each path is defined by a light projection characteristic of a respective light projection that defines the respective path. The system also includes a vehicle. The vehicle includes a sensor configured to detect the light projection characteristic of a respective path of the plurality of paths, and a controller configured to guide the vehicle along the respective path having a light projection characteristic that matches an intended light projection characteristic assigned to the vehicle.

Techniques for determining text for a vehicle to navigate in an environment are described herein. For example, the techniques may include a vehicle computing device of an autonomous vehicle transmitting data to a remote computing device that implements a multimodal large language model to determine text data that enables the vehicle to navigate in problematic situations. The multimodal large language model can receive image data, map, data, sensor data, and / or other data from the vehicle (or database associated with therewith) and output text describing a solution for navigating relative to an event. The text output by the multimodal large language model can be transmitted to the vehicle computing device for predicting a vehicle trajectory (or another action) for the autonomous vehicle to follow at a future time.

This invention discloses a convenient urban parking and shopping system and method based on license plate recognition, belonging to the technical field of shopping mall parking guidance systems. The invention utilizes edge computing license plate recognition nodes deployed at parking lot entrances, exits, and parking space areas to collect vehicle images in real time, completing license plate number recognition and vehicle feature extraction on the edge. Advantages include: accurately predicting users' shopping probability, preferred merchants, and spending range through a behavior prediction engine, and proactively pushing personalized coupons, transforming passive waiting into proactive customer acquisition, significantly improving the conversion efficiency from parking to shopping; and introducing a real-time bidding engine, allowing merchants to bid for parking space guidance priority based on user profiles and vehicle characteristics. The system guides vehicles to parking spaces near the merchant with the highest bid or the highest matching degree, helping merchants acquire customers accurately and reducing users' time searching for parking spaces, achieving a win-win situation for all parties.

This application provides a lane data processing method, apparatus, device, vehicle, and storage medium. The method includes: if it is determined that the vehicle is currently in a straight-ahead scenario at an intersection, determining a first sampling width sequence for each lane object in the vehicle's current drivable lane data; wherein the first sampling width sequence includes the first lane width of the lane object at each first sampling point; determining a target lane object with an abnormal lane width from among the lane objects based on the first sampling width sequence of the lane objects; correcting the lane centerline and right sideline of the target lane object to obtain a corrected target lane object; and generating and displaying a vehicle guidance surface based on the corrected target lane object. This method can effectively eliminate the protrusion phenomenon of intersection guidance surfaces in the navigation interface, improve the user's intuitive perception of lane boundaries, and optimize lane-level navigation effects.