A review on applications of simultaneous localization and mapping method in autonomous vehicles
The recent trends on Simultaneous Localization and Navigation (SLAM) technique have
been applied on autonomous vehicle are being explained in this paper. With the growing …
been applied on autonomous vehicle are being explained in this paper. With the growing …
From timing variations to performance degradation: Understanding and mitigating the impact of software execution timing in slam
Timing is an important property for robotic systems that continuously interact with our
physical world. Variation in program execution time caused by limited computational …
physical world. Variation in program execution time caused by limited computational …
Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing
F Schmidt, C Blessing, M Enzweiler… - arXiv preprint arXiv …, 2024 - arxiv.org
Simultaneous Localization and Mapping (SLAM) is essential for mobile robotics, enabling
autonomous navigation in dynamic, unstructured outdoor environments without relying on …
autonomous navigation in dynamic, unstructured outdoor environments without relying on …
Chronos: Timing interference as a new attack vector on autonomous cyber-physical systems
Timing property plays a vital role in the Cyber-Physical System (CPS) due to its interaction
with the physical world. The smooth operation of these robotic systems often relies on an …
with the physical world. The smooth operation of these robotic systems often relies on an …
CRBeDaSet: A benchmark dataset for high accuracy close range 3D object reconstruction
G Gabara, P Sawicki - Remote Sensing, 2023 - mdpi.com
This paper presents the CRBeDaSet—a new benchmark dataset designed for evaluating
close range, image-based 3D modeling and reconstruction techniques, and the first …
close range, image-based 3D modeling and reconstruction techniques, and the first …
Meaningful test and evaluation of indoor localization systems in semi-controlled environments
J Schyga, J Hinckeldeyn, J Kreutzfeldt - Sensors, 2022 - mdpi.com
Despite their enormous potential, the use of indoor localization systems (ILS) remains
seldom. One reason is the lack of market transparency and stakeholders' trust in the …
seldom. One reason is the lack of market transparency and stakeholders' trust in the …
特征点法SLAM 视觉里程计自适应优化算法
于雅楠， 史敦煌， 华春杰 - 系统仿真学报, 2022 - china-simulation.com
为减少动态环境对移动机器人同时定位与地图构建(simultaneous localization and mapping,
SLAM) 的影响, 提出了一种特征点法视觉里程计自适应优化算法. 该算法有助于改善光照条件 …
SLAM) 的影响, 提出了一种特征点法视觉里程计自适应优化算法. 该算法有助于改善光照条件 …
[HTML][HTML] Tropospheric wet tomography and PPP: Joint estimation from GNSS crowdsourcing data
VV Lehtola, M Mäkelä, T de Oliveira Marques… - Advances in Space …, 2022 - Elsevier
Water vapor is the dominant greenhouse gas in the atmosphere accounting for 50 to 70% of
the total effect, it plays a large role in determining the weather forecasts, and it accounts for …
the total effect, it plays a large role in determining the weather forecasts, and it accounts for …
Good graph to optimize: Cost-effective, budget-aware bundle adjustment in visual slam
The cost-efficiency of visual (-inertial) SLAM (VSLAM) is a critical characteristic of resource-
limited applications. While hardware and algorithm advances have been significantly …
limited applications. While hardware and algorithm advances have been significantly …
Image-based trajectory tracking through unknown environments without absolute positioning
This article describes a stereo image-based visual servoing (VS) system for trajectory
tracking by a nonholonomic robot without externally derived pose information nor a known …
tracking by a nonholonomic robot without externally derived pose information nor a known …