Journal of Academic Research and Advances

Deep Learning-Based Object Tracking for Augmented Reality: A System-Level Survey of Methods, Constraints, and Challenges

2026-02-09T17:05:13+08:00

The immersiveness and usability of augmented reality (AR) systems rely on accurate, temporally stable, and computationally efficient object tracking. Recent advances in deep learning have reshaped visual tracking and enabled increasingly complex AR applications on mobile and edge platforms. As AR progresses toward large-scale consumer and industrial deployment, tracking has become a system-critical perception module that directly affects visual stability, interaction latency, and user trust. This survey reviews deep learning based object tracking for AR from 2018 to 2025, focusing on algorithmic paradigms and system-level constraints. We analyze AR-specific requirements such as tight latency budgets, limited energy, long-term operation, and perceptual stability, and examine four representative paradigms (Siamese networks, deep discriminative correlation filters, Transformer based models, and long-term frameworks) with their design rationales and deployment challenges. We further discuss lightweight architectures, state-space temporal models, and diffusion-based approaches, along with integration strategies involving efficiency optimization, hardware-aware design, 6-DoF pose tracking, SLAM coupling, neural scene representations, and multimodal fusion. Representative datasets and evaluation protocols are analyzed from an AR deployment viewpoint, and open challenges and future research directions are identified. We argue that AR-oriented tracking constitutes a distinct research domain where algorithmic accuracy, perceptual stability, and system efficiency must be jointly optimized to support trustworthy and immersive next-generation AR experiences.

Spatial Design Strategies for the China Industrial Design Museum from the Perspective of Functional Integration

2026-04-23T10:45:58+08:00

Against the backdrop of cultural industry upgrading and urban regeneration, the single-function model of design museums can no longer meet diversified public needs. This study takes the China Industrial Design Museum as the research object, aiming to explore the spatial optimization strategy for functional integration. Based on literature review, field investigation and in-depth interviews, this study systematically analyzes the spatial layout, functional structure, operation mode and visitor experience of the museum.

The results show that the museum has a professional collection system and clear positioning, but still faces prominent problems such as insufficient functional synergy, monotonous circulation design, weak interactive experience and lack of auxiliary spaces. Multiple functions are simply superimposed rather than organically integrated.

To solve these problems, this study constructs three functional integration modes: collection-culture inheritance, exhibition-community service, and education-research-industry renewal. Four design principles are proposed, namely functional collaboration, spatial adaptability, experience priority and sustainable development. Furthermore, this study puts forward a phased spatial optimization scheme from the aspects of circulation reconstruction, functional zoning, material selection and exhibition system optimization.

This study enriches the theoretical system of spatial design of professional design museums, and provides practical reference for functional upgrading and spatial renewal of similar museums.

Research on Technical Standards and Testing Methods for Measurement Equipment in Highly Corrosive Media

2026-04-29T18:10:45+08:00

Addressing critical gaps in the strong corrosive media measurement equipment industry—including absent specialized standards, testing methods detached from actual operating conditions, and one-dimensional evaluation systems—this study develops a comprehensive technical standard framework and innovative testing methodologies. Based on material characteristics of Hastelloy C-276 and tantalum diaphragms, combined with empirical data from 517 industrial projects and 17 patented technologies, we establish a four-dimensional (concentration-temperature-pressure-media type) five-tier classification system and define 15 core technical indicators. Ten innovative testing methods are proposed, including a four-factor coupled accelerated corrosion test. A draft technical standard was formulated and validated across 20 enterprises and 51 projects, achieving 98% compliance with <3% deviation between test results and field data. The standard increased industry product qualification rates from 75% to 92%, filling a domestic void in this specialized field and providing unified technical criteria for equipment R&D, manufacturing, and selection.