Journal ArticleDOI
Visual Navigation for Mobile Robots: A Survey
TLDR
The outline to mapless navigation includes reactive techniques based on qualitative characteristics extraction, appearance-based localization, optical flow, features tracking, plane ground detection/tracking, etc... the recent concept of visual sonar has also been revised.Citations
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Proceedings ArticleDOI
Target-driven visual navigation in indoor scenes using deep reinforcement learning
TL;DR: This article proposed an actor-critic model whose policy is a function of the goal as well as the current state, which allows better generalization and generalizes across targets and scenes.
Journal ArticleDOI
Cloud robotics: architecture, challenges and applications
TL;DR: This work extends the computation and information sharing capabilities of networked robotics by proposing a cloud robotic architecture that leverages the combination of an ad-hoc cloud formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine/machine communications.
Journal ArticleDOI
Remote sensing platforms and sensors: A survey
Charles K. Toth,Grzegorz Jóźków +1 more
TL;DR: In this article, the authors reviewed the state-of-the-art remote sensing technologies, including platforms and sensors, the topics representing the primary research interest in the ISPRS Technical Commission I activities.
Journal ArticleDOI
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
TL;DR: Methods applicable to stationary obstacles, moving obstacles and multiple vehicles scenarios are reviewed, and particular attention is given to reactive methods based on local sensory data, with a special focus on recently proposed navigation laws based on model predictive and sliding mode control.
Journal ArticleDOI
Visual SLAM and Structure from Motion in Dynamic Environments: A Survey
TL;DR: This article presents for the first time a survey of visual SLAM and SfM techniques that are targeted toward operation in dynamic environments and identifies three main problems: how to perform reconstruction, how to segment and track dynamic objects, and how to achieve joint motion segmentation and reconstruction.
References
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Proceedings ArticleDOI
Object recognition from local scale-invariant features
TL;DR: Experimental results show that robust object recognition can be achieved in cluttered partially occluded images with a computation time of under 2 seconds.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
Journal ArticleDOI
Determining optical flow
TL;DR: In this paper, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Proceedings ArticleDOI
Good features to track
Jianbo Shi,Tomasi +1 more
TL;DR: A feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world are proposed.