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Radar Fusion Monocular Depth Estimation Based on Dual Attention
In this article, we explore the integration of multimodal data into monocular depth estimation. Monocular depth estimation is performed by fusing RGB...
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Cystoscopic depth estimation using gated adversarial domain adaptation
Monocular depth estimation from camera images is very important for surrounding scene evaluation in many technical fields from automotive to...
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Self-supervised monocular depth estimation based on image texture detail enhancement
We present a new self-supervised monocular depth estimation method with multi-scale texture detail enhancement. Based on the observation that the...
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Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-Motion
Self-supervised monocular depth estimation approaches suffer not only from scale ambiguity but also infer temporally inconsistent depth maps w.r.t....
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Unconstrained human gaze estimation approach for medium-distance scene based on monocular vision
This paper proposes an unconstrained human gaze estimation approach for medium-distance scene based on monocular vision. A recurrent convolution...
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Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion
Multi-modal depth estimation is one of the key challenges for endowing autonomous machines with robust robotic perception capabilities. There have...
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Smart insect-computer hybrid robots empowered with enhanced obstacle avoidance capabilities using onboard monocular camera
Insect-computer hybrid robots are receiving increasing attention as a potential alternative to small artificial robots due to their superior...
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Eliminating Scale Ambiguity of Unsupervised Monocular Visual Odometry
Scale ambiguity is a difficulty in monocular visual odometry. This challenge has not yet been well solved, regardless of whether it is a traditional...
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Self-supervised monocular depth estimation with occlusion mask and edge awareness
Depth estimation is one of the basic and important tasks in 3D vision. Recently, many works have been done in self-supervised depth estimation based...
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Three-dimentional reconstruction of underwater side-scan sonar images based on shape-from-shading and monocular depth fusion
Modern marine research requires high-precision three-dimensional (3D) underwater data. Underwater environments experience severe visible light...
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Multi-resolution Dense Residual Networks with High-Modularization for Monocular Depth Estimation
Deep-learning neural networks (DNN) have been acknowledged to capably solve the ill-posed monocular depth estimation problem in self-drive...
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Improved deep depth estimation for environments with sparse visual cues
Most deep learning-based depth estimation models that learn scene structure self-supervised from monocular video base their estimation on visual cues...
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Towards Comprehensive Representation Enhancement in Semantics-Guided Self-supervised Monocular Depth Estimation
Semantics-guided self-supervised monocular depth estimation has been widely researched, owing to the strong cross-task correlation of depth and...
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Monocular Stereo Learning Based on Hybrid Attention Transformer
Monocular stereo matching estimation network is an important research direction in the field of artificial intelligence. In this paper, a monocular...
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DESC: Domain Adaptation for Depth Estimation via Semantic Consistency
Accurate real depth annotations are difficult to acquire, needing the use of special devices such as a LiDAR sensor. Self-supervised methods try to...
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A multiscale dilated convolution and mixed-order attention-based deep neural network for monocular depth prediction
Recovering precise depth information from different scenes has become a popular subject in the semantic segmentation and virtual reality fields. This...
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Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Deep learning has substantially boosted the performance of Monocular Depth Estimation (MDE), a critical component in fully vision-based autonomous...
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Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
We introduce an end-to-end joint training framework that explicitly models 6-DoF motion of multiple dynamic objects, ego-motion, and depth in a...
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Unsupervised single-shot depth estimation using perceptual reconstruction
Real-time estimation of actual object depth is an essential module for various autonomous system tasks such as 3D reconstruction, scene understanding...
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Knowledge distillation of multi-scale dense prediction transformer for self-supervised depth estimation
Depth estimation is an inverse projection problem that estimates pixel-level distances from a single image. Although, supervised methods have shown...
