44 results about "Lead vehicle" patented technology

This invention relates to the field of mining area traffic planning and discloses a method for planning vehicle speed in mining areas that integrates AI algorithms and multimodal data. The method includes the following steps: S1, determining that the current vehicle is in a following state and collecting the current vehicle's driving parameters, the position of the leading vehicle, and the distance between the two vehicles; S2, based on the positions of the current vehicle and the leading vehicle, determining whether the leading vehicle is traveling on a slope or about to leave the slope; S3, if the leading vehicle is on a slope or about to leave the slope, determining a safe following distance based on the distance between the two vehicles and the leading vehicle's slope travel distance; S4, planning the current vehicle's driving speed. This invention identifies vehicle following patterns and collects multimodal data in real time and comprehensively. It utilizes AI algorithms to perform high-precision perception and forward-looking prediction of the leading vehicle's slope travel status, enabling the solution to fully understand the complex terrain environment currently and in the future, thus allowing for pre-emptive risk assessment.

The driving support device includes a line of sight detection unit that detects a line of sight of an occupant of the first following vehicle on the oncoming lane, a moving person estimation unit that estimates whether or not there is a possibility of a crossing moving person being present around the leading vehicle based on the detected line of sight, and a driving support unit that performs deceleration control of the host vehicle and the like when it is estimated that there is a possibility of a crossing moving person being present.

The application discloses an abnormal driving behavior recognition method and system based on multi-modal data fusion, and particularly relates to the technical field of multi-vehicle cooperative driving safety control, and is used for solving the problem that the existing cooperative driving system cannot convert the abnormal behavior risk of a driver into a cooperative control instruction at the vehicle fleet level; the abnormal state of the driver is recognized by collecting and fusing multi-modal sensor data of the vehicle; when the vehicle is a lead vehicle of a vehicle fleet, the comprehensive risk of the abnormal state to the safety of the vehicle fleet is evaluated based on the abnormal state through probabilistic evolution simulation; the expected effect of different vehicle fleet control strategies is simulated according to the risk evaluation result, and the best strategy is selected; vehicle fleet risk information containing the strategy is generated and sent to all following vehicles through vehicle-to-vehicle communication; the whole process from single-vehicle driver state monitoring to vehicle fleet level cooperative risk prevention and control is realized, and the overall safety of the vehicle fleet system is improved.

The application belongs to the technical field of industrial process control and vehicle networking cooperative control, and discloses a vehicle networking cooperative vehicle fleet self-triggered formation control method under denial of service attack conditions, which comprises the following steps: constructing a state space equation of cooperative vehicles, and obtaining expected formation states and actual states of a leading vehicle and a following vehicle; step 2, modeling possible denial of service attacks in vehicle networking; step 3, designing a self-triggered control update strategy for each following vehicle in a time interval in which communication is normal and the communication topology of the fleet remains connected; step 4, based on steps 1, 2 and 3, constructing a fleet consistency controller, and under the condition that the denial of service attack satisfies the frequency and duration constraint conditions, the fleet system meets the control requirements. The application reduces the communication and calculation burden of the fleet, improves the safety and robustness of the system under the conditions of communication attack, limited bandwidth and unstable network, and is suitable for cooperative fleet formation control scenes under various vehicle networking topological structures.

The vehicle control device includes: a target torque calculation unit that calculates a first target torque that causes the vehicle-to-vehicle distance to change from a leading vehicle to a following vehicle; a torque recording unit that records the actual torque generated based on the first target torque until the vehicle-to-vehicle distance reaches a specific vehicle-to-vehicle distance between the following vehicle and the leading vehicle; and a distance setting unit that sets the corresponding vehicle-to-vehicle distance as the vehicle-to-vehicle distance corresponding to a value in the recorded actual torque that is within a specific range including the minimum value.

Platoons of vehicles are operated remotely by a teleoperator. A lead vehicle of a platoon establishes communications with a teleoperator station, which receives drive state data from the lead vehicle and generates reference instructions for the lead vehicle. When a lead vehicle is under control of a teleoperator, and a follower vehicle joins a platoon with the lead vehicle, the follower vehicle receives drive state data from the lead vehicle and reference instructions for the lead vehicle from the teleoperator station. The follower vehicle captures data regarding its own drive state, and generates instructions based on the drive state data of the lead vehicle and the reference instructions for the lead vehicle. Drive state data of a lead vehicle of a platoon may be estimated, augmented or refined for accuracy based on drive state data of other vehicles of the platoon.

This application discloses a task collaborative decision-making and planning network architecture, device, and medium for platooning vehicles. The task collaborative decision-making and planning network architecture for platooning vehicles includes a first decision model configured on a lead vehicle and a second decision model configured on follower vehicles. The first decision model includes a first encoder, a first Cross Attention structure, and a first fully connected layer. The first encoder encodes the vehicle state information and environmental information detected by the lead vehicle. The first Cross Attention structure fuses the lead vehicle's control commands and the output data from the first encoder. The first fully connected layer determines the planned trajectory of the lead vehicle based on the output from the first Cross Attention structure and sends the planned trajectory of the lead vehicle to the follower vehicles via V2V communication, so that the follower vehicles can collaboratively decide their planned trajectories through the second decision model. Using this application effectively improves collaborative decision-making and planning capabilities.

System for optical communication between vehicles using modulated LED lighting, comprising at least a first vehicle with at least one LED-based vehicle light and a control unit for controlling the vehicle light, characterized in that the control unit is designed to modulate the LED vehicle light in such a way that information about the vehicle's driving states, in particular position, speed, acceleration, deceleration or braking operations, is optically transmitted with the emitted light.

This invention relates to the field of automotive navigation technology, providing an intelligent method and system for overlaying and displaying navigation information on automotive instruments. The invention dynamically determines the leading and trailing vehicles in a convoy, overlaying and displaying navigation information based on the vehicle's navigation of these vehicles. If the leading vehicle selects or travels to a different route, the system switches the route display for the vehicle. It also dynamically overlays and displays obstacle avoidance lane recommendations for the vehicle. When the vehicle deviates from its route, it selects the nearest vehicle in real time for reference overlaying and displaying the route back to the convoy. This system can dynamically determine the leading and trailing vehicles in the convoy, performing basic navigation overlay display, route switching display, obstacle avoidance lane recommendation overlay display, and reference overlay display for route return. It is suitable for special scenarios involving convoy driving, enabling collaboration and information sharing among multiple vehicles in a convoy, breaking down the independent navigation of individual vehicles, and improving the flexibility and safety of convoy driving.

According to one aspect of the present invention, a vehicle control apparatus mounted on a lead vehicle sets a smaller value of a first acceleration limit value determined based on specifications regarding running of a first following vehicle and a basic acceleration limit value determined based on specifications regarding running of the lead vehicle as a set acceleration limit value of the lead vehicle, and outputs an acceleration instruction for controlling a braking apparatus or a driving apparatus after limiting it according to the set acceleration limit value.

The application discloses a variable-interval electric heavy truck queue distributed prediction control method in the technical field of intelligent traffic control, and aims to solve the problem that the prior art fails to consider the influence of complex road topography and is difficult to realize the optimal kinetic energy control of electric heavy truck queues with different quality attributes on undulating pavements. The method comprises the following steps: acquiring the future road slope of a vehicle, and constructing a dynamics model according to the future road slope of the vehicle; wherein the vehicle comprises a leading vehicle and a plurality of following vehicles; according to the dynamics model, a leading vehicle optimization problem and a following vehicle optimization problem are established; the application establishes the leading vehicle optimization problem and the following vehicle optimization problem based on the future road slope, obtains the optimal state sequence and the optimal control sequence of each vehicle by solving the optimization problems, and ensures the traffic efficiency, safety and driving smoothness of the electric heavy truck queues with different quality attributes on the undulating pavement, so that the actual working effect is ensured.

1. Name of this design product: Car headlight housing (HLD02). 2. Application of this design: for use in LED vehicle light housings. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A plurality of vehicles traveling to a destination may be determined from platoon formation messages received from the plurality of vehicles. A subset of vehicles from the plurality of vehicles having a latency at or below a teleoperated driving (ToD) threshold may be determined from the platoon formation messages. A lead vehicle for a platoon may be determined from the subset of vehicles, where the lead vehicle includes a lowest latency of the subset of vehicles. A follow vehicle for the platoon may be determined from the subset of vehicles, where the follow vehicle includes a vehicular capability at or above a platoon formation threshold. The platoon between the lead and follow vehicles may be formed and upon forming the platoon, the video streaming of the follow vehicle may be deactivated. A platoon route for the platoon may be generated based on video data obtained by the lead vehicle.

This application provides a method, apparatus, and equipment for the collaborative control of mixed-load truck platoons, applicable to business scenarios such as ports, border crossings, road freight, urban delivery, mining, and airports. The method includes: acquiring the real-time load mass of each vehicle in the platoon and constructing a vehicle energy consumption model incorporating kinetic energy recovery; dynamically determining the optimal lead vehicle based on this energy consumption model and forward-looking road gradient information, with the goal of minimizing the overall energy consumption of the platoon; and finally, generating and executing an energy-saving control strategy before the platoon reaches the slope, instructing the platoon to complete the collaborative driving configuration switch. This invention achieves refined and adaptive energy-saving control of truck platoons under real-world complex road conditions by integrating load, gradient, and kinetic energy recovery factors.

This application discloses a vehicle cooperative following method, which establishes a wireless communication connection with the leading vehicle to provide a channel for data transmission; then, through this connection, it receives the leading vehicle's periodically transmitted location information, obtaining the dynamic location data source of the leading vehicle; next, it displays the leading vehicle's location information in real time on the local map interface of the following vehicle, enabling the driver of the following vehicle to obtain an intuitive and continuous spatial location perception; finally, based on the real-time location of the leading vehicle and the current location of the following vehicle, it automatically plans and generates a driving route and navigation guidance to the location of the leading vehicle. This method creatively combines direct communication between vehicles, dynamic location sharing, and real-time path planning to form a closed-loop cooperative navigation process, enabling the following vehicle to automatically and accurately follow the leading vehicle, effectively solving the problem of the following vehicle easily getting lost due to obstructed vision and inconvenient communication in convoy travel, and improving the safety and overall stability of convoy travel.

1. Name of this design product: LED vehicle light (short fog light). 2. Application of this design: Fog light for LED vehicle lights. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

A method for reversing a semi-autonomous follower vehicle (140), comprising: determining the speed of a lead vehicle (100) located in front of the reversing follower vehicle (140) and not attached to it, by a processor of the follower vehicle (140); estimating a path (150) of the lead vehicle (100) by the processor of the follower vehicle (140); determining a path (160) for the follower vehicle (140) based on the path (150) of the lead vehicle (100) by the processor of the follower vehicle (140); controlling the longitudinal movement of the follower vehicle (140) based on the speed of the lead vehicle (100) and the lateral movement of the follower vehicle (140) based on the path (160) for the follower vehicle (140) by the processor of the follower vehicle (140); and determining a wheelbase LL of the lead vehicle (100) and a steering angle SWAL of the follower vehicle (100). lead vehicle (100) by the processor of the following vehicle (140),wherein the determination of the speed of the lead vehicle (100), the wheelbase LL of the lead vehicle (100), and the steering wheel angle SWAL of the lead vehicle (100) is carried out via car-to-car communication (C2C communication) originating from the lead vehicle (100), wherein estimating the path (150) of the lead vehicle (100) comprises determining a turning radius R as follows: R = LLSW AL * SGR, where SGR corresponds to a steering ratio that is a conversion factor between the steering wheel angle SWAL and a wheel angle, wherein estimating the path (150) of the lead vehicle (100) comprises generating a trajectory in an xy-coordinate system as follows: R² = x² + (y − R)², and the method comprises determining a position of the follower vehicle (140) in the xy-coordinate system using the processor of the follower vehicle (140) as follows includes: xf=Lf2+d∗sin(α+ΔYaw)undyf=d∗cos(α+ΔYaw), where d is a distance between the lead vehicle (100) and the follow vehicle (140),α is an azimuth angle between the lead vehicle (100) and the follow vehicle (140), Lfein is the wheelbase of the follow vehicle (140), and Δ Yaw is a difference between a yaw movement of the lead vehicle (100) and a yaw movement of the follow vehicle (140).

The application discloses a path planning method for multi-vehicle platoon formation transformation, and relates to the field of automatic driving.The method comprises the following steps: acquiring real-time state information of a host vehicle and a platoon topology serial number; starting follow-up planning when it is judged that the host vehicle is a following vehicle; converting absolute geographic coordinates to a local planning coordinate system, filtering, matching and locally intercepting a historical trajectory of a lead vehicle to generate a local lead vehicle reference path; generating an initial offset candidate path queue of the following vehicle by performing normal offset on the basis of a target lateral offset after heading smoothing; obtaining a feasible lateral reference line of the following vehicle through anti-folding topology review and path pruning; constructing a terminal pose boundary condition, generating a discrete point sequence through polynomial solving, and inversely transforming the discrete point sequence into absolute geographic coordinates after splicing to issue and execute.The application realizes path planning during multi-vehicle platoon formation transformation, improves the trajectory tracking accuracy of the following vehicle and the stability of the platoon, and guarantees the safety and efficiency of the platoon transformation.

Vehicles, methods, and non-volatile, computer-readable media for dynamically generating an operating limit are provided. A vehicle comprises a steering actuator and a processing circuit arrangement designed to cause the following vehicle to: determine the position of an obstacle relative to the following vehicle; generate an operating limit of the following vehicle based on the position of the obstacle, the relative position of the following vehicle to a lead vehicle, and the properties of the following and lead vehicles; and control a steering angle of the steering actuator based on the operating limit.

Disclosed are an intelligent warning method, an intelligent warning system, and an intelligent taillight device based on motor vehicle taillights. The method includes: monitoring, in real-time, a current speed of a motor vehicle, a speed of a leading vehicle, and a speed of a following vehicle, and providing feedback to a preset main control module; acquiring, through the main control module, a real-time distance between the motor vehicle and the following vehicle to obtain a following vehicle distance, and a real-time distance between the motor vehicle and the leading vehicle to obtain and a leading vehicle distance; controlling, by the main control module, a first projection module integrated in the motor vehicle taillight and a second projection module installed at a rear of the motor vehicle to project on a road surface in response to that a preset projection condition is met.

To provide a new method for controlling the entry of automobiles into intersections. [Solution] The entry / exit control device 1 stores inter-route conflict data 171 that determines whether or not the routes, which are combinations of entry and exit routes to an intersection, conflict with each other. The entry / exit control device 1 includes a priority setting unit 155 that sets multiple permutations for the leading vehicle of each entry route that is scheduled to enter the intersection based on driving information from the vehicle, and sets the priority of the vehicles for each permutation; a conflict determination unit 157 that determines, for each permutation, whether or not the route of each vehicle to enter conflicts with a vehicle with a higher priority, based on the inter-route conflict data 171; a determination unit 159 that determines whether or not to allow each vehicle to enter based on the result of the conflict determination related to the selected permutation selected from the multiple permutations; and a determination information notification control unit 167 that controls the notification of the determination information to the vehicles to enter.

The application provides a vehicle unblocking method, an unmanned vehicle and a multi-vehicle cooperation system, and relates to the technical field of unmanned driving and intelligent mine areas. The method comprises the following steps: in the case that it is identified that the ego vehicle is in a blocked state, broadcasting blocking information and a feasible unblocking action of the ego vehicle, and receiving blocking information and a feasible unblocking action broadcast by a second target vehicle, the second target vehicle comprising a vehicle other than the first target vehicle in a blocked vehicle set; selecting a leading vehicle from the blocked vehicle set based on the blocking information of the ego vehicle and the blocking information broadcast by the second target vehicle; and performing a first unblocking action determined by the leading vehicle, the first unblocking action being determined based on the feasible unblocking action of the ego vehicle and the feasible unblocking action of the second target vehicle.

This invention discloses a route planning system and method for seedling transport vehicles in farmland, belonging to the field of vehicle route planning. The system includes modules for seedling transport vehicle clusters and dynamic role switching, dynamic election of the lead vehicle, route resource allocation, and distributed collaboration. The seedling transport vehicles are equipped with positioning, communication, and task execution units. The operation is realized through a cyclical process of system initialization, route exploration feedback, route allocation, and dynamic updates. This invention can also realize dynamic role switching and professional division of labor for seedling transport vehicles. The lead vehicle has both scheduling and transportation functions. Distributed collaboration eliminates the dependence on central scheduling. A route priority incentive mechanism is established with on-time delivery rate as the core. Dynamic election of the lead vehicle ensures the continuity of collaboration, greatly improving the efficiency of vehicle group operation and resource utilization. It is suitable for unstructured farmland environments and meets the needs of intelligent agricultural machinery for cost reduction and efficiency improvement.

A method for longitudinal guidance of a vehicle relative to a leading vehicle driving in front by using an electronic distance-keeping system, includes providing an environmental parameter relating to an environment of the vehicle, providing a target distance at which the vehicle is intended to follow the leading vehicle, providing acceleration and / or braking information relating to the leading vehicle, assigning the leading vehicle to one of at least two different, predefined driving behavior classes based on the environmental parameter and the acceleration and / or braking information, and determining an at least temporarily permitted deviation from the target distance based on the assigned driving behavior class. The distance-keeping system is used to at least temporarily longitudinally guide the vehicle as following the leading vehicle based on the target distance and the permitted deviation. A distance-keeping system for a vehicle is also provided.

Systems and methods for forming a convoy of vehicles are disclosed. In some embodiments, the method comprises communicating a request to form the convoy. In accordance with a determination that the first and second vehicles are traveling a same route for at least a threshold distance, the convoy is confirmed to form. The convoy may comprise a first vehicle traveling within a slipstream of a second vehicle, which is a leading vehicle of the convoy, or the second vehicle traveling within a slipstream of the first vehicle, which is the leading vehicle of the convoy.

Methods and systems are provided for calibrating an on-board camera of a vehicle by detecting one or both of a lead vehicle geometry and a road lane width. In one example, a method includes identifying a known vehicle geometry of a lead vehicle; estimating a distance to the lead vehicle based on matching the known vehicle geometry to an image of the known vehicle geometry from the camera; and updating a calibration of the camera based on the estimated distance.

1. Name of the product in this design: LED vehicle light (I). 2. Purpose of this design: for lighting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A snap-ring type LED vehicle light source module for retrofitting eliminates the need to remove the original transparent front cover of the headlight. During retrofitting, a hole is drilled in the center of the reflector cup at the rear of the light assembly, a circular snap-ring is installed, and the LED light source module is secured using mounting holes and screws on the snap-ring, completing the internal installation. This invention eliminates the need to remove the front cover, requires screws and nuts for fastening, and eliminates the need for decorative panels. The resulting appearance is clean and seamless, maintaining the integrity of the original vehicle, and reducing difficulty and cost. It is suitable for upgrading older vehicle models. The snap-ring has adjustment holes; with the help of adjustment screws and support shims, the vertical and horizontal angles of the light source component can be finely adjusted to obtain the ideal illumination angle.

The present application improves the practicability of an autonomous vehicle following a preceding vehicle. An autonomous vehicle is configured to drive itself in such a way that the distance between itself and the preceding vehicle is a set distance according to the relative position of the preceding vehicle in real time, and to determine a steering index of itself as a target, i.e., a target steering index, and to turn the wheels according to the target steering index. In the case where a plurality of following vehicles form a queue and follow a leading vehicle, at least one of the parameters related to the control of the braking of the autonomous vehicle and the parameters related to the turning of the wheels of the autonomous vehicle is changed according to the number of the following vehicle. The following driving in the queue can be properly performed.

This invention discloses an LED interactive vehicle light, belonging to the technical field of LED vehicle lights. It includes a rear housing, with a lampshade assembly mounted on the front side of the rear housing. The lampshade assembly includes an opaque area at the edge and a completely black, light-transmitting area inside the opaque area. An LED light panel assembly and a driver board are sequentially arranged between the lampshade area and the rear housing from front to back. The LED light panel assembly includes several sequentially connected LED light panel units, and the driver board is inserted into the rear side of each LED light panel unit. An LED controller is located on the rear side of the rear housing and is connected to the driver board. This invention allows for flexible assembly to meet the interior panel installation requirements of different vehicle models. Simultaneously, it uses independent drivers to individually control each LED light-emitting unit, preventing the complete loss of function of the entire vehicle LED light assembly.