Results 51 to 60 of about 55,943 (277)

Robust Photogeometric Localization over Time for Map-Centric Loop Closure

, 2019
Map-centric SLAM is emerging as an alternative of conventional graph-based SLAM for its accuracy and efficiency in long-term mapping problems. However, in map-centric SLAM, the process of loop closure differs from that of conventional SLAM and the result
Fookes, Clinton, Guo, Jiadong, Kim, Soohwan, Moghadam, Peyman, Park, Chanoh, Sridharan, Sridha   +5 more
core   +1 more source

ProSLAM: Graph SLAM from a Programmer's Perspective

, 2017
In this paper we present ProSLAM, a lightweight stereo visual SLAM system designed with simplicity in mind. Our work stems from the experience gathered by the authors while teaching SLAM to students and aims at providing a highly modular system that can ...
Colosi, Mirco, Grisetti, Giorgio, Schlegel, Dominik   +2 more
core   +1 more source

A comparative evaluation of interest point detectors and local descriptors for visual SLAM [PDF]

, 2010
In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in vision-based simultaneous localization and mapping (SLAM).
A.J. Davison, Arturo Gil, D. Lowe, F. Zernike, G. Grisetti, K. Mikolajczyk, K. Mikolajczyk, Monica Ballesta, Oscar Martinez Mozos, Oscar Reinoso, S. Theodoridis, Z. Zhang   +11 more
core   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Monocular SLAM Supported Object Recognition [PDF]

, 2015
In this work, we develop a monocular SLAM-aware object recognition system that is able to achieve considerably stronger recognition performance, as compared to classical object recognition systems that function on a frame-by-frame basis. By incorporating
Leonard, John, Pillai, Sudeep
core   +3 more sources

Temporal and Cell‐Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1

Advanced Science, EarlyView.
Chd1, the Drosophila homologue of mammalian CHD2 ‐ a gene linked to autism, epilepsy, and intellectual disability, is required for synaptic homeostatic plasticity. Chd1 in glia is necessary for the rapid induction of synaptic homeostasis, whereas Chd1 in motoneurons, muscle, and glia is critical for long‐term maintenance.
Danielle T. Morency, Tao Cui, Yimei Cai, Chloe Lok, Rachel E. Nokku, Ruoxian Huang, Grace L. Chu, Yumeng Xie, Saleem W. Abu‐Tayeh, Kaikai He, Chengjie Qiu, Junyi Wang, Paxton M. Paganelli, Ting Wang, Gabrielle Williams, Sreejith Nair, Huadong Pei, Dion K. Dickman, Stefano Vicini, Tingting Wang   +19 more
wiley   +1 more source

DM-SLAM: A Feature-Based SLAM System for Rigid Dynamic Scenes

ISPRS International Journal of Geo-Information, 2020
Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems.
Junhao Cheng, Zhi Wang, Hongyan Zhou, Li Li, Jian Yao   +4 more
doaj   +1 more source

Mobile Robot Localization and Mapping Algorithm Based on the Fusion of Image and Laser Point Cloud

Sensors, 2022
Given the lack of scale information of the image features detected by the visual SLAM (simultaneous localization and mapping) algorithm, the accumulation of many features lacking depth information will cause scale blur, which will lead to degradation and
Jun Dai, Dongfang Li, Yanqin Li, Junwei Zhao, Wenbo Li, Gang Liu   +5 more
doaj   +1 more source

Change it Now: eBay v. MercExchange-Business Method Patent Litigation Reaches Critical Juncture Concerning Remedies for Infringement [PDF]

, 2006
Visual simultaneous localization and mapping (SLAM) as field has been researched for ten years, but with recent advances in mobile performance visual SLAM is entering the consumer market in a completely new way.
Reder, Margo E. K.
core   +1 more source

H-SLAM: Hybrid direct–indirect visual SLAM

Robotics and Autonomous Systems
The recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM. However, most attempts fall short in several respects, with the most prominent issue being the need for two different map representations (local and global maps), with each requiring different ...
Georges Younes 0001, Douaa Khalil, John S. Zelek, Daniel C. Asmar   +3 more
openaire   +2 more sources