Imagen de Portada

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Relia, Lomash, Singla, Jai G, Amitabh, Dube, Nitant
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Learning Aided Vision System for Planetary Rovers
por: Relia, Lomash, et al.
Publicado: (2026)

LunarDepthNet: Generation of Digital Elevation Models using Deep Learning and Monocular Satellite Images
por: Aadi, Aaranay, et al.
Publicado: (2026)

DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery
por: Aadi, Aaranay, et al.
Publicado: (2026)

Evaluation of image simulation open source solutions for simulation of synthetic images in lunar environment
por: Singla, Jai G, et al.
Publicado: (2026)

Sub-metre Lunar DEM Generation and Validation from Chandrayaan-2 OHRC Multi-View Imagery Using an Open-Source Pipeline
por: Aadi, Aaranay, et al.
Publicado: (2026)

Towards Seamless Lunar Mosaics: Deep Radiometric Normalization for Cross-Sensor Orbital Imagery Using Chandrayaan-2 TMC Data
por: Singh, Pratincha, et al.
Publicado: (2026)

Comparative Evaluation of Traditional and Deep Learning Feature Matching Algorithms using Chandrayaan-2 Lunar Data
por: Makharia, R., et al.
Publicado: (2025)

Population estimation using 3D city modelling and Carto2S datasets -- A case study
por: Singla, Jai G
Publicado: (2024)

Solar potential analysis over Indian cities using high-resolution satellite imagery and DEM
por: Singla, Jai
Publicado: (2024)

Classification of residential and non-residential buildings based on satellite data using deep learning
por: Singla, Jai G
Publicado: (2024)

Tree level change detection over Ahmedabad city using very high resolution satellite images and Deep Learning
por: Singla, Jai G, et al.
Publicado: (2024)

Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models
por: Cai, Zijie, et al.
Publicado: (2025)

CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval
por: Hossain, Md Aminur, et al.
Publicado: (2026)

Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation
por: Cai, Xinhao, et al.
Publicado: (2026)

LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment
por: Long, Jiahuan, et al.
Publicado: (2025)

RTS-Mono: A Real-Time Self-Supervised Monocular Depth Estimation Method for Real-World Deployment
por: Cheng, Zeyu, et al.
Publicado: (2025)

Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
por: Talker, Lior, et al.
Publicado: (2022)

Vision-Language Embodiment for Monocular Depth Estimation
por: Zhang, Jinchang, et al.
Publicado: (2025)

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
por: Danier, Duolikun, et al.
Publicado: (2024)

Semantic segmentation on multi-resolution optical and microwave data using deep learning
por: Singla, Jai G, et al.
Publicado: (2024)

Real-time Monocular Depth Estimation on Embedded Systems
por: Feng, Cheng, et al.
Publicado: (2023)

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World
por: Guo, Ji, et al.
Publicado: (2025)

The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
por: Li, Pengzhi, et al.
Publicado: (2024)

WEDepth: Efficient Adaptation of World Knowledge for Monocular Depth Estimation
por: Wang, Gongshu, et al.
Publicado: (2025)

Interpretable Vision Transformers in Monocular Depth Estimation via SVDA
por: Arampatzakis, Vasileios, et al.
Publicado: (2026)

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency
por: Budd, Charlie, et al.
Publicado: (2024)

Towards Spatio-Temporal World Scene Graph Generation from Monocular Videos
por: Peddi, Rohith, et al.
Publicado: (2026)

Guided Diffusion-based Generation of Adversarial Objects for Real-World Monocular Depth Estimation Attacks
por: Chen, Yongtao, et al.
Publicado: (2025)

Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation
por: Zhuang, Peixian, et al.
Publicado: (2025)

Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision
por: Ju, Xinwei, et al.
Publicado: (2026)

Monocular Depth Estimation with Global-Aware Discretization and Local Context Modeling
por: Wu, Heng, et al.
Publicado: (2025)

Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN
por: Yao, Jiawei, et al.
Publicado: (2023)

Language as Prior, Vision as Calibration: Metric Scale Recovery for Monocular Depth Estimation
por: Zhan, Mingxia, et al.
Publicado: (2026)

UniDepth: Universal Monocular Metric Depth Estimation
por: Piccinelli, Luigi, et al.
Publicado: (2024)

StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
por: Xing, Ke, et al.
Publicado: (2025)

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
por: Cheng, Zhiyuan, et al.
Publicado: (2024)

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds
por: Liu, Haotian, et al.
Publicado: (2024)

Depth-Guided Metric-Aware Temporal Consistency for Monocular Video Human Mesh Recovery
por: Cen, Jiaxin, et al.
Publicado: (2026)

Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak-Texture Endoscopic Images
por: Huang, Zebo, et al.
Publicado: (2025)

Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
por: Zhou, Kaichen, et al.
Publicado: (2023)