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Visual SLAM and structure from motion in dynamic environments: A survey
In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization
and Map** (visual SLAM) techniques have gained significant interest from both the …
and Map** (visual SLAM) techniques have gained significant interest from both the …
Detect-SLAM: Making object detection and SLAM mutually beneficial
Although significant progress has been made in SLAM and object detection in recent years,
there are still a series of challenges for both tasks, eg, SLAM in dynamic environments and …
there are still a series of challenges for both tasks, eg, SLAM in dynamic environments and …
Mono3d++: Monocular 3d vehicle detection with two-scale 3d hypotheses and task priors
We present a method to infer 3D pose and shape of vehicles from a single image. To tackle
this ill-posed problem, we optimize two-scale projection consistency between the generated …
this ill-posed problem, we optimize two-scale projection consistency between the generated …
Carfusion: Combining point tracking and part detection for dynamic 3d reconstruction of vehicles
Despite significant research in the area, reconstruction of multiple dynamic rigid objects (eg.
vehicles) observed from wide-baseline, uncalibrated and unsynchronized cameras, remains …
vehicles) observed from wide-baseline, uncalibrated and unsynchronized cameras, remains …
A real-time dynamic object segmentation framework for SLAM system in dynamic scenes
J Chang, N Dong, D Li - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
To accurately detect dynamic objects in dynamic scenes (DSs), a detection framework
equipped with visual-based measurement methods has been proposed in this article. First …
equipped with visual-based measurement methods has been proposed in this article. First …
WALT3D: Generating realistic training data from time-lapse imagery for reconstructing dynamic objects under occlusion
Current methods for 2D and 3D object understanding struggle with severe occlusions in
busy urban environments partly due to the lack of large-scale labeled ground-truth …
busy urban environments partly due to the lack of large-scale labeled ground-truth …
Reconstructing vehicles from a single image: Shape priors for road scene understanding
We present an approach for reconstructing vehicles from a single (RGB) image, in the
context of autonomous driving. Though the problem appears to be ill-posed, we demonstrate …
context of autonomous driving. Though the problem appears to be ill-posed, we demonstrate …
Semantic map** for view-invariant relocalization
We propose a system for visual simultaneous localization and map** (SLAM) that
combines traditional local appearance-based features with semantically meaningful object …
combines traditional local appearance-based features with semantically meaningful object …
Real-time dense monocular SLAM with online adapted depth prediction network
Considerable advances have been achieved in estimating the depth map from a single
image via convolutional neural networks (CNNs) during the past few years. Combining …
image via convolutional neural networks (CNNs) during the past few years. Combining …
Visual-inertial-semantic scene representation for 3D object detection
We describe a system to detect objects in three-dimensional space using video and inertial
sensors (accelerometer and gyrometer), ubiquitous in modern mobile platforms from phones …
sensors (accelerometer and gyrometer), ubiquitous in modern mobile platforms from phones …