252 results about "Vehicle search" patented technology

The invention discloses a multi-unmanned aerial vehicle maritime search and rescue path planning method based on multi-target particle swarm optimization. The method comprises the steps that S1, an area to be searched and rescued is converted into a two-dimensional search and rescue area; s2, performing grid decomposition on the two-dimensional search and rescue area; s3, obtaining a probability map through a Gaussian mixture model; s4, establishing an unmanned aerial vehicle search and rescue multi-target collaborative optimization function; s5, solving the function based on a hybrid particle swarm optimization algorithm to obtain an optimal solution; and generating a specific search and rescue path of the unmanned aerial vehicle according to the solved optimal solution. According to the method, an unmanned aerial vehicle search and rescue multi-target collaborative optimization function is established, the unmanned aerial vehicle is guided to execute the search and rescue task by taking resource balanced allocation, maximum path safety, preferential coverage of a high-risk area and minimum energy consumption as targets, task allocation, path planning and energy management are improved, multi-target optimization of multi-unmanned aerial vehicle search and rescue path planning is realized, and the search and rescue efficiency is improved. An accurate flight path is formulated for each unmanned aerial vehicle, comprehensive coverage of search and rescue tasks is ensured, and the search and rescue efficiency and success rate are remarkably improved.

The invention discloses a multi-agent unmanned aerial vehicle search task energy optimization method based on an entropy maximization strategy, and belongs to the field of unmanned aerial vehicle search task energy optimization. The implementation method comprises the following steps: modeling a multi-region search task of the multi-agent unmanned aerial vehicle, constructing an energy consumption model of the unmanned aerial vehicle, taking the minimum energy consumption of a multi-agent system as a priority target, adopting a reinforcement learning algorithm with maximized multi-agent entropy, making a decision on the action of each unmanned aerial vehicle, and obtaining a multi-region search task of the multi-agent unmanned aerial vehicle. According to the method, the randomness of strategy implementation of each agent is enhanced, premature falling into a suboptimal solution is avoided, real-time adjustment is performed on the next action decision of each unmanned aerial vehicle according to the environment and energy consumption observed by other unmanned aerial vehicles based on a method of centralized training in distributed execution, and when the unmanned aerial vehicle arrives at a target area, the unmanned aerial vehicle is subjected to real-time control. And carrying out full-path search on the target area to ensure the optimality of solving sub-problems, namely, realizing energy optimization of a multi-unmanned aerial vehicle search task based on an entropy maximization strategy.

The invention relates to the field of unmanned aerial vehicle identification and tracking, and discloses an unmanned aerial vehicle tracking method, tracking device and system and a storage medium, and the method comprises the steps: searching an unmanned aerial vehicle through an unmanned aerial vehicle tracking device, and employing a deep neural network visual template detection mode when the unmanned aerial vehicle is not searched and is in an unmanned aerial vehicle searching state; searching a suspicious target in the view field through a deep neural network; wherein the unmanned aerial vehicle is used as a search target; after the target is searched, adopting an identification result to initialize a machine vision detection mode so as to track the target through machine vision; when a target is lost, a tracking result is inaccurate, a tracked target moves too fast or background interference is serious in the tracking process, the mode is switched to a mixed mode for mutual cooperation so as to realize accurate tracking of the target. The method can achieve the recognition and tracking of the unmanned plane under the edge calculation, is precise in recognition, is high in tracking precision, and is small in loss rate.

The invention provides an unmanned aerial vehicle group cooperative game task allocation and path planning method and system, and belongs to the technical field of unmanned aerial vehicle control. Unmanned aerial vehicle endurance time, search capability, release-recovery point and task point space distribution are integrated, and an efficiency and coverage oriented cooperative search task allocation model is constructed; based on a cooperative game theory, making a time-distance balanced unmanned aerial vehicle group dynamic target point selection strategy; and judging the return opportunity of the unmanned aerial vehicle, resolving the distance relationship between the non-searched task points and the target return path, judging whether the non-searched task points can be added in the return or not, maximally utilizing the endurance time, and generating the shortest return path of the unmanned aerial vehicle. According to the method, the problems of unreasonable task allocation, incomplete search coverage, dynamic change of task points and the like when an unmanned system cluster composed of unmanned aerial vehicles searches for multiple task points in an unstructured environment can be solved, and support is provided for research, development and application in the aspect of cooperative task execution of the unmanned system.

The invention discloses a carrier guiding method and device for emergency task allocation, and a server side method comprises the steps: receiving an emergency carrying request sent by a client side, the emergency carrying request being used for requesting the server side to search for a carrier which can preferentially process an emergency carrying task; the carrying request carries the emergency task information and the task emergency degree of the emergency carrying task; under the condition that the task emergency degree is larger than a preset threshold value, the real-time state of each carrier currently operating in the warehouse is obtained; inputting the carrying vehicle real-time state and the emergency task information of each carrying vehicle into a preset carrying vehicle search plug-in, and outputting a target carrying vehicle corresponding to the emergency carrying task; and distributing the emergency task information and a preset priority processing identifier to the target carrying vehicle, wherein the preset priority processing identifier is used for guiding the target carrying vehicle to carry out priority processing on the emergency carrying task. Therefore, by adopting the embodiment of the invention, the optimal carrier can be found in a short time, and the operation efficiency of a storage center is improved.

The embodiment of the invention provides a vehicle searching positioning method and system. The method comprises the following steps: acquiring application information of an account from an account application end; setting a corresponding vehicle searching permission according to the application information, obtaining a vehicle identification number of a target vehicle queried by the current account, performing permission verification on the vehicle searching permission of the current account based on the vehicle identification number, and if the permission verification is passed, sending positioning information of the target vehicle obtained through the vehicle-mounted terminal to the vehicle-mounted terminal if an encrypted vehicle searching instruction is received; and performing secondary permission verification on the vehicle searching permission of the current account of the client based on the vehicle identification number, transmitting the vehicle searching instruction to the vehicle-mounted terminal when the verification is passed, so that the vehicle-mounted terminal performs certificate verification on the vehicle searching instruction, if the certificate verification is passed, executing the vehicle searching instruction, and if the certificate verification is passed, executing the vehicle searching instruction. The corresponding vehicle searching authority is set through the application information, so that the abuse of the authority and the system can be avoided, and all the vehicle control instructions are subjected to end-to-end encryption processing, so that the operation safety is guaranteed.

The invention provides a method and system for realizing reverse vehicle searching in a parking lot without relying on a parking space camera, and relates to the technical field of parking lot management, and the method comprises the steps: recognizing the MAC addresses and license plate numbers of at least two Bluetooth devices corresponding to a current vehicle, and storing the MAC addresses and license plate numbers in a license plate number database; secondary evidence obtaining is carried out, and all scanning results in a first preset duration are uploaded to a license plate number database; when the MAC addresses are the same as the MAC addresses of at least two Bluetooth devices in the license plate number database, the parking space is determined to be an undetermined parking space, and when the MAC address of any Bluetooth device is reduced and the duration in which the electronic tag cannot read exceeds a second preset duration, the undetermined parking space is determined to be a target parking space; and storing the license plate number and the target parking space to a preset vehicle searching system so as to realize parking lot reverse vehicle searching without depending on a parking space camera. According to the invention, wireless signals corresponding to passing vehicles, pedestrians and drivers can be screened by using increase and decrease of device numbers, so that the vehicle searching precision is improved, and the vehicle searching service investment is reduced.

The invention provides a display method, a vehicle, electronic equipment and an interaction system in the field of vehicles, which can be used for providing one-stop service integrating functions of valet parking, roaming parking, calling or vehicle searching and the like for a user, so that the user can select required functions on the same platform, and the user experience is improved. The method comprises the steps that triggering operation for a parking and vehicle searching interface is responded, for example, the parking and vehicle searching interface is displayed, the parking and vehicle searching interface comprises multiple icons, and the multiple icons comprise at least one icon in a valet parking icon, a roaming parking icon, a calling icon or a vehicle searching icon; the function corresponding to the valet parking icon is used for indicating to start the function of parking the vehicle into the parking space, the roaming parking icon is used for indicating the function of searching the parking space by the vehicle, the calling function is used for indicating the vehicle to drive to a designated place, and the vehicle searching function is used for indicating the function of acquiring the path to the vehicle.

The invention discloses a multi-unmanned aerial vehicle cooperative target searching method and system, and the method comprises the steps: carrying out the discrete coordinate rasterization of a searching region, setting the initial parameters of an unmanned aerial vehicle, and taking the position of a target entering the region as the starting point position of the unmanned aerial vehicle; all the unmanned aerial vehicles search at the starting point positions at the same time, and region search is carried out by using the optimized region walk algorithm; obtaining the grid score of the grid where the information is located according to the correlation degree of the search information and the target; according to the grid score, obtaining a weight coefficient of unmanned aerial vehicle search flight path planning, and according to a linear function of the weight coefficient in each direction, carrying out unmanned aerial vehicle flight path planning; and if more than two features with the motion direction of the target are found in the search process, predicting the position of the target, and surrounding the target. The method has the advantages of being easy to implement and low in complexity, and target searching tasks can be efficiently and rapidly completed.

The invention relates to the technical field of vehicles, and provides a vehicle parking method and a vehicle searching method, and the vehicle parking method comprises the steps: obtaining sensing data of a parking lot area through a sensing device; and generating a real-time area map of the parking lot area based on the sensing data, wherein the real-time area map dynamically stores area object data and corresponding object state data in the parking lot area. And when a parking instruction of the target vehicle is received and it is detected that the target vehicle is driven into the parking lot area, the vehicle position of the target vehicle and the parking space position of the target parking space are determined according to the area object data and the corresponding object state data. The parking route of the target vehicle is generated based on the vehicle position, the parking space position and the real-time area map, the first control instruction is generated based on the parking route, the parking route and the first control instruction are sent to the target vehicle, and the target vehicle is controlled to drive to the target parking space according to the parking route. And the parking experience of the driver is improved.

The invention relates to the technical field of vehicle-mounted terminals, and discloses a vehicle-mounted terminal control method and system and a vehicle, and the method comprises the following steps: S1, multi-dimensional environment perception and scene judgment: collecting GPS signal intensity, Beidou signal intensity, mobile network signal intensity, vehicle altitude and environment illumination intensity through a perception module; through Beidou + inertial navigation integrated positioning + null shift calibration, the basement positioning precision is higher, the parking position monitoring and vehicle searching requirements are met, the three-level redundant link (mobile network + LoRa + Bluetooth) and distributed gateway design is adopted, the basement information transmission success rate is higher, emergency information is not interrupted, data security is guaranteed through full-link encryption, and the service life of the system is prolonged. Misjudgment of temporary weak signals on the ground is avoided through multi-dimensional sensing (signal + altitude + illumination + duration), the mode switching accuracy is higher, bandwidth waste is reduced through a priority dynamic adjustment mechanism, the emergency information response speed is increased, and link congestion is avoided through a common information caching strategy.

The invention provides a vehicle searching method, and relates to the technical field of vehicle positioning. The space between the current position of a user and a target area where a target vehicle is located is divided into a plurality of areas, and positioning modes with different precisions are adopted based on the current position of the user, so that a navigation path corresponding to each area from the user is generated; therefore, high-precision positioning is carried out on the current position of the user and the target parking position under the condition that the user infinitely approaches the target parking position until the user is guided to reach the target parking position of the target vehicle, and different navigation paths are generated in a layered positioning mode. The purpose of guiding the user to quickly and accurately find the target parking position is achieved, the technical problem that it is difficult to quickly and accurately find the target parking position in the prior art is solved, and the technical effect of guiding the user to quickly and accurately find the target parking position is achieved.

The invention discloses an intelligent parking lot vehicle parking and searching management system, and the system comprises a parking lot gate system, a cloud server end, a parking lot parking space guiding map unit, and a mobile APP end. The cloud server side is used for receiving and transmitting data of the parking lot management system, the parking lot parking space guiding map unit is used for displaying parking lot parking space information data, and the mobile APP side is connected with the parking lot parking space guiding map unit through the cloud server side and used for obtaining parking lot parking space and vehicle positioning data at the mobile APP side. And the user parks and searches the vehicle according to the navigation route displayed on the interface of the mobile APP terminal. By arranging a series of structures, the vehicle, the user and the parking lot are positioned, the parking lot vehicle driving navigation route and the user vehicle searching navigation route are generated, accurate target data are obtained, the parking and vehicle searching time of the user in the parking lot is saved, and the parking lot management difficulty is reduced.

The invention discloses an unmanned aerial vehicle search and rescue method and system based on the Internet of Things, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: obtaining the region information of a target search and rescue region, and marking a region with the average signal intensity smaller than or equal to a first target threshold value as a first target region based on the region information; dispatching the unmanned aerial vehicle to the first target area to execute a signal relay task based on the area information of the first target area, and starting to collect search and rescue information of the target search and rescue area; and adjusting a flight task and a flight path of the unmanned aerial vehicle based on the search and rescue information. The system is composed of an acquisition unit, a processing unit and an execution unit which are respectively used for acquiring area information, processing and dispatching the unmanned aerial vehicle and adjusting a flight task. The optimal ultimate position is determined based on various types of path loss calculation, and the success rate of unmanned aerial vehicle search and rescue is improved.

The invention discloses an unmanned aerial vehicle and unmanned vehicle cross-domain cooperative tracking control method based on YOLOv7. The method comprises the steps that a user controls an unmanned vehicle to carry the unmanned aerial vehicle to a designated place; the method comprises the following steps: extracting a frame image from a video stream collected by an unmanned aerial vehicle in real time, and processing the frame image to obtain an input image; inputting the input image into a pre-trained YOLOv7 network model to obtain all target information in the input image; a user can specify target information and perform obstacle determination on a non-user-specified target. According to target information in an input image, the system updates a path in real time to avoid obstacles and continuously track a specified target. And the user issues a tracking ending and landing instruction, and the unmanned aerial vehicle searches the target information of the unmanned vehicle in the input image and tracks and lands on the unmanned vehicle. The method can stably operate in a complex and dynamic environment, ensures reliable target tracking, effectively realizes complementation between the unmanned aerial vehicle and the unmanned aerial vehicle, makes full use of respective advantages, and improves the overall system performance.

The invention relates to the technical field of automatic driving, in particular to a path planning method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an optimal path searched in a road network diagram based on a driving start point and a driving end point of a target automatic driving vehicle; smoothing the optimal path to obtain a smooth path; respectively calculating the path score of the optimal path and the path score of the smooth path according to the distance from each node to the driving end point and the weight of each road section between the driving starting point and each node; determining the path with the maximum path score in the optimal path and the smooth path as the latest optimal path; and skipping to carry out smoothing processing on a plurality of road sections in the optimal path to obtain a smooth path, and continuously executing until the path score of the latest optimal path meets a preset score condition or the current iteration frequency meets a preset frequency condition. By comparing the path scores of the optimal path and the smooth path, path planning can be performed on the autonomous vehicle.

The invention relates to a vehicle data processing method and device, computer equipment, a storage medium and a computer program product. The embodiment of the invention can be applied to a vehicle-mounted scene. The method comprises the following steps: inputting a sensor signal generated by a vehicle sensor of a target vehicle into a preset state machine; the preset state machine comprises a logical relationship among a plurality of vehicle states; updating the shared signal set based on the received sensor signal under the current vehicle state of the target vehicle through a preset state machine, determining the next vehicle state of the target vehicle based on the current shared signal set, and switching from the current vehicle state to the next vehicle state; updating a special signal set corresponding to the target parking state based on the received sensor signal when switching to the target parking state through a preset state machine, and determining parking information of the target vehicle based on the current shared signal set and the current special signal set; the parking information is used as vehicle searching guide information of the target vehicle. By adopting the method, the vehicle searching efficiency can be improved.

The invention discloses a parking lot parking space management method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving parking space state information of each parking space in a parking lot in real time; according to the binding relationship between the crossroad and the parking space in the parking lot, in combination with the parking space state information of each parking space in the parking lot, controlling a guide screen at the crossroad in the parking lot to display the remaining parking space guide information; after the target vehicle is parked in the target parking space according to the remaining parking space guiding information, receiving binding relation data, uploaded by the parking space camera, of the target parking space and the target vehicle; when the vehicle owner triggers reverse searching of the target vehicle through the mobile terminal, the real-time position of the mobile terminal is determined according to a Bluetooth signal received and uploaded by the mobile terminal from the Bluetooth transmitting device in real time; and according to the real-time position of the mobile terminal and the position of the target parking space in the binding relation data, generating and displaying a real-time vehicle searching navigation path so as to guide a vehicle owner to search a vehicle. The problems of difficult parking and difficult vehicle searching in the parking lot are solved.

The present application relates to the field of unmanned aerial vehicle flight control, more particularly, the present application relates to unmanned aerial vehicle flight control method and system based on unmanned aerial vehicle search and rescue platform, the method comprises: based on the preset time window calculates the current attitude stability and wind resistance consumption of unmanned aerial vehicle, and then the excess proportion is obtained and the comprehensive wind resistance index is calculated, according to which the weak machine is judged; Then calculate the next moment of weak machine traction (current traction minus release amount) and strong machine next moment of traction (original traction plus weak machine release amount total sum of increments), complete the reassignment of unmanned aerial vehicle cluster traction. The present application can intelligently evaluate the wind resistance of unmanned aerial vehicle and dynamically adjust the traction distribution, combined with accurate prediction and environmental adaptation, significantly improve the task execution stability and reliability of unmanned aerial vehicle cluster in wind disturbance environment, ensure that the task allocation is more scientific and reasonable.

The invention discloses a multi-UAV (unmanned aerial vehicle) collaborative search method imitating bird territory marks. The method comprises the following implementation steps: step 1, initializing a search environment; 2, unmanned aerial vehicle action strategy selection and position updating; 3, updating a search map and a territory smell map; 4, calculating a reward function and an observation matrix; 5, updating the reinforcement learning strategy network; and 6, outputting a search result. The method aims at solving the problem that multiple unmanned aerial vehicles search dynamic targets in an unknown environment, dynamic coverage of a target search area can be achieved in combination with a bionic model marked by a bird territory and an MAPPO reinforcement learning algorithm, efficient and intelligent search of multiple unmanned aerial vehicle dynamic targets is achieved, and the cooperation ability between the unmanned aerial vehicles in the search process is improved.

The invention provides a working condition preprocessing method and device for a shared two-wheeled vehicle, and relates to the technical field of two-wheeled vehicles, and the method comprises the steps: determining whether an operation region has a condition for starting a preprocessing function or not according to the weather information of the operation region where the shared two-wheeled vehicle is located; if the user is located in the operation area with the condition of starting the preprocessing function, obtaining position information of the user; if it is determined that the user moves towards the target vehicle based on the position information and the distance between the user and the target vehicle is smaller than a set distance, a preprocessing instruction is sent to the target vehicle; the target vehicle is a vehicle reserved by the user or a navigation vehicle selected by the user; the preprocessing instruction is used for instructing the target vehicle to adjust working condition parameters. According to the method, the user is promoted to lock the vehicle and adjust the working condition parameters of the vehicle in advance through the vehicle searching and reserving functions of the user, so that the vehicle can enter the proper working condition as soon as possible in different weather states.

The invention relates to a multi-unmanned aerial vehicle (UAV) search strategy optimization method based on genetic programming (GP), which is characterized in that under a distributed model predictive control (DMPC) framework, each UAV is guided by a target function to realize a search trajectory optimization process, and essentially, a search strategy is converted into a mathematical logic mapping relation. In a traditional method, objective function construction mainly depends on a design thought dominated by artificial experience, and the fixed search mode based on subjectivity has the limitations of insufficient environmental adaptability, weak strategy generalization ability and the like in a complex dynamic environment. In order to solve the problem, the invention provides a search strategy optimization method based on a genetic programming algorithm, and online dynamic evolution and parameter adaptive adjustment of a search strategy are realized by establishing a dynamic mapping model between a strategy parameter space and a search performance index.

This application provides a vehicle searching method and apparatus, and an electronic device. The method may include: receiving parking location information of a vehicle, where the parking location information includes parking space number information of a parking location of the vehicle; and receiving a first instruction, and controlling display of the parking location of the vehicle according to the first instruction, where the parking location includes a parking space number indicated by the parking space number information. This application may be applied to a vehicle searching field of an intelligent vehicle or an electric vehicle, and helps improve vehicle searching efficiency and accuracy of a user, to improve user experience.

The utility model relates to the technical field of scooters, in particular to an intelligent vehicle searching anti-theft module connected with a scooter. The emergency power supply is characterized by comprising a first power supply conversion unit, a communication unit, a second power supply conversion unit, a control unit and a warning unit, the first power supply conversion unit is adaptively connected with an external power supply and the emergency power supply, the external power supply serves as an input power supply during normal work, and the emergency power supply serves as the input power supply during standby. An input power supply is converted into a first power supply voltage and a second power supply voltage. By adopting the anti-theft module, the traffic cost is avoided, the power consumption is low, the service life of the vehicle battery is long, and the vehicle battery can still be found after being disassembled.

The application discloses a parking lot vehicle searching method, device and system, the method comprising: obtaining a vehicle searching request of a user; determining a current position and a parking position of the user according to the vehicle searching request of the user; determining a corresponding parking lot vehicle searching strategy according to the current position and the parking position, the parking lot vehicle searching strategy comprising a cross-floor vehicle searching strategy and a same-floor vehicle searching strategy, the cross-floor vehicle searching strategy being realized based on passage node information of each floor; determining a final vehicle searching path of the user according to the parking lot vehicle searching strategy and map data of the parking lot, so that the user reaches the parking position according to the final vehicle searching path. The application adopts different vehicle searching strategies for different vehicle searching conditions, especially designs a corresponding cross-floor vehicle searching strategy based on previously recorded passage node information of each floor for the cross-floor vehicle searching condition, so as to determine an optimal vehicle searching path, which improves the cross-floor vehicle searching efficiency and the accuracy of the vehicle searching path.

The present application provides a display method, a vehicle, an electronic device, and an interaction system in the field of vehicles, used for providing, for a user, a one-stop service that integrates functions such as valet parking, autonomous parking, calling or vehicle searching, so that the user can select a required function on the same platform, and the user experience is improved. The method comprises: in response to a trigger operation on a parking and vehicle searching interface, for example, displaying the parking and vehicle searching interface, wherein the parking and vehicle searching interface comprises a plurality of icons, the plurality of icons comprise at least one icon of a valet parking icon, an autonomous parking icon, a calling icon or a vehicle searching icon, a function corresponding to the valet parking icon is a function of instructing to start the vehicle to park in a parking space, a function corresponding to the autonomous parking icon is a function of instructing the vehicle to search for a parking space, a function corresponding to the calling icon is a function of instructing the vehicle to travel to a designated place, and a function corresponding to the vehicle searching icon is a function of instructing to obtain a route of the vehicle.

The invention relates to the technical field of parking space detection and vehicle control, and discloses a micropower geomagnetic parking space detection method and device, and the method comprises the steps: fusing the vector intensity and direction angle according to pre-obtained empty parking space geomagnetic vector data and real-time geomagnetic vector data, constructing a geomagnetic reference map, and calculating a real-time geomagnetic rotation angle; comparing and analyzing the geomagnetic reference map and the real-time geomagnetic rotation angle, generating a high-frequency sampling signal, acquiring high-frequency geomagnetic vector data of high-frequency sampling, and constructing a dynamic feature set; the adjacent vehicle interference condition is analyzed, a dynamic parking space state monitoring mechanism is configured, and the real-time state of a parking space is obtained; in response to a real-time vehicle moving task, planning and optimizing a vehicle moving path in real time to obtain an optimized path, and controlling the vehicle to move; the parking space state is adjusted in real time in combination with the adjacent vehicle interference condition, the accuracy of the parking space state detection result is improved, the optimal vehicle moving path is planned, the vehicle locating time is shortened, and the vehicle moving efficiency is improved.

The invention provides a control method of an electric vehicle and related equipment. The method comprises the following steps: sending a matching request signal; in response to a matching success signal received from the terminal for the matching request signal, the electric vehicle is controlled to be started, but unlocking is not conducted; wherein prompt information is sent out when the electric vehicle is started; the matching success signal is generated when the distance between the terminal and the electric vehicle is smaller than or equal to a preset distance; and in response to the fact that the real-time behavior of the user for the electric vehicle is detected to be matched with a preset behavior, unlocking the electric vehicle. The unlocking safety of the electric vehicle is enhanced, the vehicle searching efficiency of the user is improved through the starting prompt information, and the user can visually know that the electric vehicle is in the starting state and is connected with the terminal without the help of the terminal.

The application discloses a battery replacing method and a battery replacing system, and relates to the field of battery replacing. The battery replacing method comprises the following steps: moving a battery replacing tool and a full-battery to a target battery replacing position by a battery replacing vehicle; and removing a depleted battery from the target battery replacing equipment located at the target battery replacing position by the battery replacing tool, and installing the full-battery to the target battery replacing equipment. The application can at least solve the problems of sudden power failure in the driving route, inconvenience in movement and the like in the vehicle searching for power mode.

This application provides a vehicle searching method and apparatus, and an electronic device. The method may include: receiving parking location information of a vehicle, where the parking location information includes parking space number information of a parking location of the vehicle; and receiving a first instruction, and controlling display of the parking location of the vehicle according to the first instruction, where the parking location includes a parking space number indicated by the parking space number information. This application may be applied to a vehicle searching field of an intelligent vehicle or an electric vehicle, and helps improve vehicle searching efficiency and accuracy of a user, to improve user experience.