UAV Target Tracking With Reactive Regions for Obstacle Avoidance
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Solution Overview
Problem
Current systems for unmanned aerial vehicles (UAVs) lack effective methods for obstacle avoidance during target tracking, which can lead to collisions and inefficient navigation.
Innovation Solution
A method and system that utilize sensors to determine the location of obstacles relative to the UAV, adjusting movement characteristics in a proactive or reactive manner to maintain a safe distance or avoid collisions, respectively, while tracking targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the movable object maintains a fixed trajectory to track the target, then tracking precision is improved, but collision risk with obstacles increases
Solution Approach 1:
The system dynamically adjusts the movement characteristics of the movable object based on real-time obstacle detection. When an obstacle is detected in the reactive region, the system modifies trajectory parameters to avoid collision while maintaining target tracking, thus resolving the contradiction between fixed trajectory precision and collision risk
Solution Approach 2:
The system continuously monitors obstacle locations and provides feedback to adjust movement characteristics. This closed-loop control allows the system to maintain tracking precision while adapting to dynamic obstacles, preventing collisions without completely deviating from the target tracking mission
2Reliability
If the movable object adjusts movement frequently to avoid obstacles, then collision avoidance capability is improved, but tracking stability deteriorates
Solution Approach 1:
The system applies different adjustment strategies to different parts of the trajectory. In the reactive region near obstacles, aggressive avoidance maneuvers are applied, while in other regions, the system maintains stable tracking behavior. This localized adjustment preserves overall tracking stability while providing effective collision avoidance where needed
3Reliability
If the movable object maintains a safe distance from obstacles, then collision risk is reduced, but navigation efficiency decreases
Solution Approach 1:
The system performs preliminary obstacle detection and classification into proactive and reactive regions. By identifying potential obstacles early and categorizing them by urgency, the system can plan avoidance maneuvers in advance rather than making abrupt changes, thus maintaining navigation efficiency while ensuring safety
Data Source
AI summary
A method for controlling a movable object includes obtaining current location information of an obstacle while the movable object tracks a target, and determining whether a location of the obstacle corresponds to a reactive region relative to the movable object based on the current location information of the obstacle. In response to determining that the location of the obstacle corresponds to the reactive region, one or more movement characteristics of the movable object is adjusted in a reactive manner to prevent the movable object from colliding with the obstacle. In response to determining that the location of the obstacle does not correspond to the reactive region, the one or more movement characteristics of the movable object is adjusted in a proactive manner to maintain a distance between the movable object and the obstacle to be larger than a predefined distance.