Managing Large-Scale Mapping and Localization for Pedestrians using Inertial Sensors [PDF]
, 2013 Pedestrian navigation in indoor environments without a pre-installed infrastructure still presents many challenges. There are different approaches that address the problem using prior knowledge about the environment when the building plans or similar
Patrick, Robertson +2 more
core +1 more source
A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data
Drones, 2022 Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS).
Angelos Antonopoulos +2 more
doaj +1 more source
Simultaneous localization and map-building using active vision [PDF]
, 2002 An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable long-term ...
D.W. Murray +5 more
core +2 more sources
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning [PDF]
International Symposium of Robotics Research, 2022 Robots operating in the open world encounter various different environments that can substantially differ from each other. This domain gap also poses a challenge for Simultaneous Localization and Mapping (SLAM) being one of the fundamental tasks for ...
Niclas Vodisch +3 more
semanticscholar +1 more source
Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]
, 2012 An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core +7 more sources
International Journal of Advanced Robotic Systems, 2021 As a fundamental assumption in simultaneous localization and mapping, the static scenes hypothesis can be hardly fulfilled in applications of indoor/outdoor navigation or localization.
Yujia Zhai +4 more
doaj +1 more source
Radio SLAM: A Review on Radio-Based Simultaneous Localization and Mapping
IEEE Access, 2023 Simultaneous localization and mapping (SLAM) algorithm has enabled the automation of mobile robots in unknown environments. It enables the robot to navigate through an unknown trajectory by employing sensors that provide measurements to infer the ...
Bisma Amjad +5 more
semanticscholar +1 more source
Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping [PDF]
IEEE Robotics and Automation LettersSimultaneous localization and mapping is a critical capability for autonomous systems. Traditional SLAM approaches often rely on visual or LiDAR sensors and face significant challenges in adverse conditionssuch as low light or featureless environments ...
Dong Wang +5 more
semanticscholar +1 more source
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core +1 more source
Performance improvement in VSLAM using stabilized feature points [PDF]
, 2013 Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Şahin, Caner, Ünel, Mustafa
core +2 more sources