PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
🤖 AI Summary
Omnidirectional (360°) vision is increasingly critical for embodied intelligence, yet its foundational theory and system architecture lag significantly behind pinhole-camera vision. To address this gap, we propose PANORAMA—the first idealized system architecture for embodied environmental understanding via panoramic vision. It comprises four synergistic subsystems: panoramic generation, perception, understanding, and cognition. PANORAMA integrates multimodal representations, cross-view geometric modeling, and a novel panoramic-action alignment dataset construction methodology, thereby transcending traditional single-task paradigms. We systematically identify key technical bottlenecks and open challenges in panoramic vision and articulate an evolutionary trajectory from geometry-driven to semantics-behavior joint modeling. The architecture has already enabled multiple cross-domain technological deployments. It provides a scalable theoretical framework and practical engineering guidelines for developing general-purpose, robust omnidirectional AI systems.
Application Category
📝 Abstract
Omnidirectional vision, using 360-degree vision to understand the environment, has become increasingly critical across domains like robotics, industrial inspection, and environmental monitoring. Compared to traditional pinhole vision, omnidirectional vision provides holistic environmental awareness, significantly enhancing the completeness of scene perception and the reliability of decision-making. However, foundational research in this area has historically lagged behind traditional pinhole vision. This talk presents an emerging trend in the embodied AI era: the rapid development of omnidirectional vision, driven by growing industrial demand and academic interest. We highlight recent breakthroughs in omnidirectional generation, omnidirectional perception, omnidirectional understanding, and related datasets. Drawing on insights from both academia and industry, we propose an ideal panoramic system architecture in the embodied AI era, PANORAMA, which consists of four key subsystems. Moreover, we offer in-depth opinions related to emerging trends and cross-community impacts at the intersection of panoramic vision and embodied AI, along with the future roadmap and open challenges. This overview synthesizes state-of-the-art advancements and outlines challenges and opportunities for future research in building robust, general-purpose omnidirectional AI systems in the embodied AI era.
Problem
Research questions and friction points this paper is trying to address.
Advancing omnidirectional vision for holistic environmental awareness
Bridging research gaps between omnidirectional and pinhole vision systems
Developing robust AI systems for embodied applications using 360-degree perception
Innovation
Methods, ideas, or system contributions that make the work stand out.
Omnidirectional vision for environmental awareness
PANORAMA panoramic system architecture design
Integration of omnidirectional generation and perception
🔎 Similar Papers
No similar papers found.
