Jongho Lee, Mohit Gupta, Bhuvana Krishnaswamy, Suman Banerjee
Communications of the ACM
This research paper explores the challenges and solutions related to multi-camera interference (MCI) in environments where multiple active 3D cameras operate simultaneously.
Key Challenges in Edge Computing Context:
- Increased Complexity: As the number of cameras deployed in edge computing environments (e.g., smart cities, autonomous vehicles) grows, the potential for MCI increases significantly. This can lead to inaccurate depth measurements, degraded image quality, and unreliable sensor data.
- Performance Degradation: MCI can severely impact the performance of critical edge computing applications that rely on accurate 3D perception, such as:
- Autonomous navigation: Inaccurate depth perception can lead to collisions and safety hazards for autonomous vehicles and robots.
- Surveillance and security: Interference can hinder object detection and tracking, compromising the effectiveness of security systems.
- Augmented and Virtual Reality: MCI can disrupt the immersive experience by causing artifacts and distortions in the virtual environment.
Key Contributions:
- Framework for Analyzing MCI: The paper provides a framework for understanding and analyzing the impact of MCI in different scenarios, considering factors such as camera placement, illumination conditions, and the types of 3D cameras used.
- Mitigation Techniques: The research explores various techniques to mitigate the effects of MCI, including:
- Spatial and temporal coordination: Optimizing camera operation schedules and communication protocols to minimize interference.
- Hardware and software solutions: Designing cameras with improved interference rejection capabilities and developing advanced signal processing algorithms to filter out interfering signals.
In essence, this research highlights the critical importance of addressing MCI in edge computing environments. By developing effective mitigation strategies, we can ensure the reliable and accurate operation of 3D perception systems in a wide range of applications.
Read the paper here.
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