MilliNoise
Author:
Affiliation:
1. Politecnico di Bari, Bari, Italy
2. University College London, London, United Kingdom
Funder
Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU, partnership on ?Telecommunications of the Future?
CISCO and EPSRF-SFI
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3625468.3652189
Reference32 articles.
1. Milli-RIO: Ego-Motion Estimation With Low-Cost Millimetre-Wave Radar
2. Michael R. Anderberg. 1973. Cluster Analysis for Applications. Academic Press.
3. Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset
4. Simple online and realtime tracking
5. Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom. 2020. nuscenes: A multimodal dataset for autonomous driving. In Proc. of the IEEE/CVF conference on computer vision and pattern recognition. 11621--11631.
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1. Introducing an indoor object classification dataset including sparse point clouds from mmWave radar;Scientific Data;2024-08-03
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