Vehicle Drone Image Feedback Interval Extension
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Solution Overview
Problem
The use of drones for surround view live broadcasting faces challenges due to excessive latency in network transmission and high speeds, leading to discrepancies between the operator's view and the actual environment, making it difficult to maneuver the drone to avoid obstacles in real time.
Innovation Solution
A vehicle-based monitoring system that includes image capture devices and a server, where the feedback interval of image data is extended based on the angle and speed of the vehicle, using time division multiple access technology to prioritize network resources for images corresponding to the travel direction, allowing for more efficient data transmission and updating of stitched images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the drone transmits image data at high speed to maintain real-time viewing, then the transmission latency is reduced, but the network bandwidth consumption increases and may cause data loss
Solution Approach 1:
The patent applies local quality by differentiating the importance of different regions in the surveillance image. The forward direction (travel direction) is assigned higher priority for transmission, while other directions use lower priority. This resolves the contradiction by allocating network bandwidth selectively to critical areas, reducing overall bandwidth consumption while maintaining real-time transmission for the most important view.
Solution Approach 2:
The patent changes the parameter of transmission priority based on the drone's travel direction and angle information. By dynamically adjusting which image frames are transmitted first or dropped based on their angular relationship with the travel direction, the system optimizes transmission latency for critical views while managing overall bandwidth consumption.
2Loss of information
If the drone transmits all image frames to maintain complete surveillance coverage, then the surveillance completeness is improved, but the transmission efficiency decreases and latency increases
Solution Approach 1:
The patent prioritizes transmission of image frames based on their directional importance relative to the drone's travel path. Frames captured in the forward direction (within a threshold angle) are marked as high priority and transmitted first, while frames from other directions are marked as low priority. This selective approach maintains surveillance completeness for critical areas while improving transmission efficiency by potentially dropping or delaying less critical frames.
Solution Approach 2:
The patent implements partial action by not transmitting all image frames equally, but rather selecting and prioritizing only the most critical frames for transmission. This partial transmission approach maintains sufficient surveillance information for safe operation while significantly improving transmission efficiency and reducing latency.
3Stability of the object's composition
If the system updates all image frames at equal frequency to maintain uniform quality, then the image quality consistency is improved, but the operational safety for critical directions deteriorates
Solution Approach 1:
The patent applies local quality by updating image frames at different frequencies based on their directional importance. High-priority frames (forward direction within threshold angle) are updated at higher frequency to ensure operational safety, while low-priority frames are updated at lower frequency. This differential update strategy ensures that critical viewing directions maintain high image quality consistency and reliability for safe operation.
4Productivity
If the drone flies at high speed to improve productivity, then the task completion speed is improved, but the latency between operator view and actual environment increases
Solution Approach 1:
The patent changes the transmission priority parameter dynamically based on the drone's flight speed and direction. When flying at high speed, the system prioritizes transmitting frames from the forward direction (travel path) to maintain real-time awareness of the environment ahead, while potentially reducing transmission of frames from other directions. This allows the drone to maintain high productivity while minimizing latency for the most critical viewing angle.
Data Source
AI summary
A vehicle-based monitoring system, a vehicle-based monitoring method, and a drone are provided. The monitoring method includes: capturing a first image by a first image capture device of the vehicle; extending a feedback interval of the first image by the vehicle in response to a first included angle between a first line of sight of the first image capture device and a travel direction of the vehicle being greater than an angle threshold; and feedbacking the first image according to the feedback interval by the vehicle.