Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However, it is not clear if a user’s percept...
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作者：
Huang, Tsung-RenHsu, Shin-MinFu, Li-ChenNational Taiwan University
Department of Psychology Center for Artificial Intelligence & Advanced Robotics Taipei106319 Taiwan National Taiwan University
Center for Artificial Intelligence & Advanced Robotics Department of Electrical Engineering Department of Computer Science and Information Engineering Taipei106319 Taiwan
Being able to recognize emotional intensity is a desirable feature for a facial emotional recognition (FER) system. However, the development of such a feature is hindered by the paucity of intensity-labeled data for m...
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The aim of this article is to present a survey on Machine Learning approaches for performing water analysis as in general integrating Artificial Intelligence in water analysis has a transformative potential for optimi...
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Reconstructing accurate 3D surfaces for street-view scenarios is crucial for applications such as digital entertainment and autonomous driving simulation. However, existing street-view datasets, including KITTI, Waymo...
ISBN:
(纸本)9798331314385
Reconstructing accurate 3D surfaces for street-view scenarios is crucial for applications such as digital entertainment and autonomous driving simulation. However, existing street-view datasets, including KITTI, Waymo, and nuScenes, only offer noisy LiDAR points as ground-truth data for geometric evaluation of reconstructed surfaces. These geometric ground-truths often lack the necessary precision to evaluate surface positions and do not provide data for assessing surface normals. To overcome these challenges, we introduce the SS3DM dataset, comprising precise Synthetic Street-view 3D Mesh models exported from the CARLA simulator. These mesh models facilitate accurate position evaluation and include normal vectors for evaluating surface normal. To simulate the input data in realistic driving scenarios for 3D reconstruction, we virtually drive a vehicle equipped with six RGB cameras and five LiDAR sensors in diverse outdoor scenes. Leveraging this dataset, we establish a benchmark for state-of-the-art surface reconstruction methods, providing a comprehensive evaluation of the associated challenges. For more information, visit our homepage at https://***.
Estimating 6D poses of targets efficiently is critical for industrial stamping tasks, in which the Point Pair Feature (PPF) method has been widely used. Based on PPF, this paper proposes Fast and Robust PPF, i.e. FaRo...
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This paper discusses cognitive adequacy for robots collaborating with and assisting humans. We share insights from the development of robot architectures that use knowledge-driven and data-driven methods to jointly ad...
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The authors provide a meta-review across nearly 100 extant surveys on unmanned aerial vehicles (UAVs) applications and overview papers, extract their key messages, and investigate the extent of being complementary. Ba...
The authors provide a meta-review across nearly 100 extant surveys on unmanned aerial vehicles (UAVs) applications and overview papers, extract their key messages, and investigate the extent of being complementary. Based on the findings of their survey analysis, they developed the so-called AERIAL framework, which aggregates the major challenges on the way to a successful application of UAVs for logistics, mobility, and monitoring. The framework covers the following aspects: 1) acceptance and heterogeneities; 2) economy and demand; 3) reliability and risks; 4) infrastructure and optimization; 5) automation and control; and 6) liability and standardization. They believe that their AERIAL framework and meta-review contribute towards a clearer understanding of the scientific UAV landscape challenges and the identification of potential directions for future research studies.
Designing efficient algorithms to compute a Nash Equilibrium (NE) in multiplayer games is still an open challenge. In this paper, we focus on computing an NE that optimizes a given objective function. Finding an optim...
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Outdoor object target detection is a very popular research task. 7 categories of data that fit the outdoor scenario were selected from the VOC2012 dataset as the current dataset for this study. In order to improve the...
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