11 results about "Autonomous Navigation System" patented technology

The present invention relates to the field of navigation and guidance, and relates to an intelligent multi-source autonomous navigation system. The system comprises: a multi-source perception and measurement module, which integrates a plurality of navigation sensors and outputs observations for navigation positioning; and an information processing module, which receives the observations from the plurality of navigation sensors, and uses corresponding navigation solution algorithms to obtain navigation positioning information of a carrier, wherein a combination of a single navigation sensor and a navigation solution algorithm corresponding thereto is denoted as a single navigation information source; and according to navigation task requirements, the information processing module evaluates the navigation positioning information output by each single navigation information source to obtain an optimal navigation information source configuration scheme under a current task and a current scenario, screens out an optimal information fusion algorithm applicable to the optimal navigation information source configuration from a stored navigation algorithm library, and uses the optimal information fusion algorithm to perform multi-source fusion on outputs of the optimal navigation information source, so as to obtain an optimized navigation positioning result.

This invention relates to a formation trajectory tracking control algorithm for autonomous underwater robots based on a preset time control theory. The algorithm includes: modeling the autonomous underwater robot; designing an environmental disturbance observer based on the preset time control theory; designing a formation control scheme; and optimizing the formation communication scheme to reduce communication frequency. This invention introduces a preset time control theory, avoiding the drawback of existing predefined time control schemes where the system stability time cannot be unified. It utilizes an adaptive algorithm to estimate the environmental disturbance boundary, increasing the applicability of the designed scheme. An event-triggered mechanism is introduced to optimize the formation communication structure, reducing the number of formation communications, alleviating the burden of formation communication, and improving the formation control performance of the autonomous underwater robot. This achieves fast and stable formation trajectory tracking control, and can be applied to the autonomous navigation system of autonomous underwater robots.

[Problem] To provide a sea mark identification device capable of distinguishing a port mark and a starboard mark regardless of the location of a ship. [Solution] A sea mark identification device comprises: an acquisition unit that acquires an image generated by a camera installed on a ship; a mode identification unit that identifies whether the mode of a lateral buoy contained in the image is a first mode or a second mode; a country determination unit that determines a country to which a location detected by a location detection unit for detecting the location of the ship belongs; and a port / starboard determination unit that, on the basis of predetermined corresponding relationships indicating whether the first mode and the second mode correspond to a port sign or a starboard sign in each country, determines whether the mark content of the lateral buoy is a port mark or a starboard mark, from the mode of the lateral buoy and the determined country.

The present invention discloses an automatic tracking and autonomous navigation system for the collection and transport of fruits and vegetables, falling within the technical field of navigation with tracking. The system comprises a control center, which communicates with an environmental perception module, a target recognition and localization module, a relative heading deviation angle detection module, a deviation angle correction decision module, a propulsion and steering execution module, an autonomous navigation planning module, and a human-machine interaction module. These modules are interconnected by electrical signals.The present invention, thanks to its autonomous navigation and obstacle avoidance functions, enables the following vehicle to automatically and accurately follow a guide vehicle or autonomously plan a route, thus accomplishing complex transport tasks without human intervention. Furthermore, the system is capable of rapidly planning an optimal route based on the target and current positions, reducing transport time and improving efficiency. It also features high-precision localization and attitude estimation capabilities, enabling real-time determination of the following vehicle's position and attitude, thereby ensuring stable driving in complex environments.

This invention provides an autonomous navigation system, relating to the field of intelligent navigation technology. It includes a navigation array, a read / write module, and a navigation control logic circuit. The navigation array is connected to the read / write module, and the navigation control logic circuit is connected to both the read / write module and the navigation array. The navigation control logic circuit receives target navigation information through a parallel read / write interface and generates a navigation enable signal. The read / write module writes the target navigation information into the navigation array based on the navigation enable signal. In response to the navigation enable signal being pulled high, the navigation array sequentially performs calculations on pixel circuits, annealing circuits, and propagation circuits based on the target navigation information to obtain real-time navigation results, which are then read out by the read / write module. The real-time navigation results include environmental perception results, map construction results, and path planning. This system is a fully integrated real-time autonomous navigation system that achieves low-latency autonomous navigation with high energy efficiency.

The application provides a self-adaptive map-free navigation method and system for uneven terrain, and relates to the field of mobile robots, and the following steps are iteratively performed until the final target point is reached based on the current position of the robot: positioning the current position based on multi-source sensor data of the robot, and constructing a local map; selecting an optimal boundary vertex sequence from the local map according to the current positioning result and the local map, and then obtaining an optimal sub-target point; performing passability analysis and collision detection based on the optimal sub-target point, and generating a path to the sub-target point; and predicting a trajectory in real time according to the current generated path and the local map, and driving the robot to move to the sub-target point along the predicted trajectory; and the application enables the mobile robot to adaptively navigate on uneven terrain under the condition of no prior map, and improves the adaptability and convenience of the autonomous navigation system.

This invention discloses a method for evaluating the general capabilities of autonomous navigation systems based on similarity and hierarchical analysis. To achieve an accurate and comprehensive evaluation of the general capabilities of autonomous navigation systems and provide a basis and direction for research and improvement of autonomous navigation technology, the invention includes the following steps: 1. Obtaining target values ​​for evaluating the general capabilities of autonomous navigation systems; 2. Comparing the target values ​​with actual values ​​and calculating the similarity; 3. Evaluating the similarity of the indicators using the hierarchical analysis method. This invention summarizes and generalizes evaluation indicators for the general capabilities of autonomous navigation systems, establishes a method for comparing the similarity between target and actual values, and uses the hierarchical analysis method to fuse the similarity of the indicators. This invention is applicable to the comprehensive evaluation of general capabilities under different scenarios and tasks. The selected indicators can comprehensively describe the navigation performance of autonomous navigation systems in time and space, and can quantitatively provide evaluation results. This invention belongs to the field of autonomous navigation system evaluation technology.

The application discloses an autonomous navigation system applied to a following type unmanned cleaning vehicle, and comprises a local target point decision module, a trajectory planning module and a motion control module.The local target point decision module decides a local target point position and a heading angle to which the vehicle should arrive in each control period in real time according to perception information and a grid map.The trajectory planning module plans a smooth trajectory from a current position to the local target point by using an improved space-time hybrid A* algorithm on the basis of considering kinematics of the vehicle and dynamic environment constraints.The motion control module calculates a front wheel rotation angle and an acceleration control amount according to the planned trajectory based on a linear quadratic regulator control algorithm, and drives the vehicle to track the trajectory.The application has the advantages that a "person-vehicle-road" spatial relationship model is constructed, and the intelligent level and operation efficiency of the following type cleaning operation are effectively improved.

An introduced autonomous aerial vehicle can include multiple cameras for capturing images of a surrounding physical environment that are utilized for motion planning by an autonomous navigation system. In some embodiments, the cameras can be integrated into one or more rotor assemblies that house powered rotors to free up space within the body of the aerial vehicle. In an example embodiment, an aerial vehicle includes multiple upward-facing cameras and multiple downward-facing cameras with overlapping fields of view to enable stereoscopic computer vision in a plurality of directions around the aerial vehicle. Similar camera arrangements can also be implemented in fixed-wing aerial vehicles.

This disclosure generally relates to systems and methods for generating, processing, and correlating data from multiple sensors in an autonomous navigation system, and more particularly to the utilization of configurable and dynamic sensor modules within optical detection and ranging systems, which enables improved correlation between sensor data and the configurability and responsiveness of the system to its surrounding environment.