Results 11 to 20 of about 2,236,896 (335)
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments [PDF]
IEEE Robotics and Automation Letters, 2022 This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes.
Joey Wilson +7 more
semanticscholar +1 more source
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM [PDF]
Engineering applications of artificial intelligence, 2022 We present a real-time semantic mapping approach for mobile vision systems with a 2D to 3D object detection pipeline and rapid data association for generated landmarks.
T. Hempel, A. Al-Hamadi
semanticscholar +1 more source
Active Metric-Semantic Mapping by Multiple Aerial Robots [PDF]
IEEE International Conference on Robotics and Automation, 2022 Traditional approaches for active mapping focus on building geometric maps. For most real-world applications, however, actionable information is related to semantically meaningful objects in the environment.
Xu Liu +6 more
semanticscholar +1 more source
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Neural relation extraction models have shown promising results in recent years; however, the model performance drops dramatically given only a few training samples.
Manqing Dong, Chunguang Pan, Zhipeng Luo
semanticscholar +1 more source
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping [PDF]
IEEE International Conference on Robotics and Automation, 2022 Robotic perception is currently at a cross-roads between modern methods, which operate in an efficient latent space, and classical methods, which are mathematically founded and provide interpretable, trustworthy results.
Joey Wilson +7 more
semanticscholar +1 more source
Efficient and Robust Semantic Mapping for Indoor Environments [PDF]
IEEE International Conference on Robotics and Automation, 2022 A key proficiency an autonomous mobile robot must have to perform high-level tasks is a strong understanding of its environment. This involves information about what types of objects are present, where they are, what their spatial extend is, and how they
Daniel Seichter +5 more
semanticscholar +1 more source
Foundational concepts in person-machine teaming
Frontiers in Physics, 2023 As we enter an age where the behavior and capabilities of artificial intelligence and autonomous system technologies become ever more sophisticated, cooperation, collaboration, and teaming between people and these machines is rising to the forefront of ...
Ariel M. Greenberg, Julie L. Marble
doaj +1 more source
Vision-Based Large-scale 3D Semantic Mapping for Autonomous Driving Applications [PDF]
IEEE International Conference on Robotics and Automation, 2022 In this paper, we present a complete pipeline for 3D semantic mapping solely based on a stereo camera system. The pipeline comprises a direct sparse visual odometry frontend as well as a back-end for global optimization including GNSS integration, and ...
Qing Cheng, Niclas Zeller, D. Cremers
semanticscholar +1 more source
VC-SLAM—A Handcrafted Data Corpus for the Construction of Semantic Models
Data, 2022 Ontology-based data management and knowledge graphs have emerged in recent years as efficient approaches for managing and utilizing diverse and large data sets.
Andreas Burgdorf +3 more
doaj +1 more source
Dense Incremental Metric-Semantic Mapping for Multiagent Systems via Sparse Gaussian Process Regression [PDF]
IEEE Transactions on robotics, 2021 In this article, we develop an online probabilistic metric-semantic mapping approach for mobile robot teams relying on streaming RGB-D observations. The generated maps contain full continuous distributional information about the geometric surfaces and ...
Ehsan Zobeidi +2 more
semanticscholar +1 more source