Results 1 to 10 of about 160,685 (240)
Keyframe-based monocular SLAM: design, survey, and future directions [PDF]
, 2017 Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented reality.
Asmar, Daniel +3 more
core +3 more sources
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
, 2020 Monocular SLAM refers to using a single camera to estimate robot ego motion while building a map of the environment. While Monocular SLAM is a well studied problem, automating Monocular SLAM by integrating it with trajectory planning frameworks is ...
Bhowmick, Brojeshwar +7 more
core +2 more sources
Lagrangian Duality in 3D SLAM: Verification Techniques and Optimal Solutions [PDF]
, 2015 State-of-the-art techniques for simultaneous localization and mapping (SLAM) employ iterative nonlinear optimization methods to compute an estimate for robot poses. While these techniques often work well in practice, they do not provide guarantees on the
Calafiore, Giuseppe +4 more
core +4 more sources
An Efficient Index for Visual Search in Appearance-based SLAM [PDF]
, 2013 Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large. A BoW-based appearance SLAM needs to tackle this problem for an efficient real-time operation. We propose an effective method to
Hajebi, Kiana, Zhang, Hong
core +1 more source
Acoustic simultaneous localization and mapping (A-SLAM) of a moving microphone array and its surrounding speakers [PDF]
, 2016 Acoustic scene mapping creates a representation of positions of audio sources such as talkers within the surrounding environment of a microphone array.
Evers, C, Moore, AH, Naylor, PA
core +1 more source
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
core +1 more source
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age [PDF]
, 2016 Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it.
Cadena, Cesar +7 more
core +4 more sources
2D SLAM Quality Evaluation Methods
, 2017 SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms and there is a huge amount of modern SLAM algorithms.
Chen, Baian +4 more
core +1 more source
RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
core +1 more source
Data-Efficient Decentralized Visual SLAM [PDF]
, 2017 Decentralized visual simultaneous localization and mapping (SLAM) is a powerful tool for multi-robot applications in environments where absolute positioning systems are not available.
Choudhary, Siddharth +2 more
core +1 more source