Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos
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Abstract (arXiv)
Aerial pixel-wise scene perception of the surrounding environment is an important task for UAVs (Unmanned Aerial Vehicles). Previous research works mainly adopt conventional pinhole cameras or fisheye cameras as the imaging device. However, these imaging systems cannot achieve large Field of View (FoV), small size, and lightweight at the same time. To this end, we design a UAV system with a Panoramic Annular Lens (PAL), which has the characteristics of small size, low weight, and a 360-degree annular FoV. A lightweight panoramic annular semantic segmentation neural network model is designed to achieve high-accuracy and real-time scene parsing. In addition, we present the first drone-perspective panoramic scene segmentation dataset Aerial-PASS, with annotated labels of track, field, and others. A comprehensive variety of experiments shows that the designed system performs satisfactorily in aerial panoramic scene parsing. In particular, our proposed model strikes an excellent trade-off between segmentation performance and inference speed suitable, validated on both public street-scene and our established aerial-scene datasets.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 23 of its 40 references that are in the map. First posted on arXiv 15 May 2021.
Builds on
23 of 40 references.
References · 23
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11 more
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Built on by
Citing papers per year: 2022: 3; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2022Review on Panoramic Imaging and Its Applications in Scene Understandingcited by 42
- 2022Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lenscited by 9
- 2022Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrationscited by 7
- 2026SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Predictioncited by 1
- 2024Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representationscited by 0
- 2026SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction26 Feb 2026
- 2024Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations2 Jan 2024
- 2022Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations21 Nov 2022
- 2022Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens13 Jun 2022
- 2022Review on Panoramic Imaging and Its Applications in Scene Understanding11 May 2022