2023 Competition resultsLetters M (for Mature) and Y (for Young) next to the Track titles indicate the level of conformance with the EvAAL framework, which is essentially complete for Mature Tracks and progressing from year to year for Young Tracks. The Limit Score (LS) is the minimum score required for a competitor to be awarded a prize. The Score is the third quartile of point error in metres: the lower, the better. Datasets and supporting materials for the IPIN 2023 Competition Track 3 (Smartphone-based, offiste) are available on Zenodo at: https://zenodo.org/records/8362205 Dasets and supporting materials for the IPIN 2023 Competition Track 4 (Foot-Mounted IMU based positioning, offsite-online) are available on Zenodo at: https://zenodo.org/records/8399764 Onsite Tracks| | |
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| Track 1: Smartphone | M | LS
10 |
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| | Team | Institution | Score | | 1: THWS | Technische Hochschule Würzburg-Schweinfurt | 2.8 | | 2: Inha & Papaya | Inha University, Papaya Co., LTD. | 6.2 | | 3: KNU WCSL | Kyungpook National University | 9.1 |
Offsite-online Tracks| | |
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| Track 3: Smartphone | M | LS
15 |
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| | Team | Institution | Score | | 1: THWS | Technische Hochschule Würzburg-Schweinfurt | 5.3 | | 2: QAQ | Xiamen University | 6.3 | | 3: KNU WCSL | Kyungpook National University | 7.7 | | Inha & Papaya | Inha University, Papaya Co., LTD. | 8.6 | | BUPTer | Beijing University of Post and Telecommunication, China (BUPT) | 13.5 | | IOT2US | Queen Mary, University of London, Peking University | >45 | | imec-Waves | Ghent University/imec-Waves | >45 | | IA3 | Universitat Jaume I | -- | | | |
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| Track 4: Foot-mounted IMU | M | LS
50 |
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| | Team | Institution | Score | | 1: CETC-CePNT | The 54th Research Institute of China Electronics Technology Group Corporation | 8.3 | | 2: SmartLoc | Nanyang Technological University | 10.3 | | 3: X-lab | Nanjing University of Aeronautics and Astronautics, College of Automation | 26.3 | | ININ624 | School of Automation, Beijing Institute of Technology | 58.2 | | VINF | Institute for Sensing and Navigation, Shanghai Jiao Tong University | >90 | | | |
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| Track 6: Smartphone on vehicle | Y | LS
40 |
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| | Team | Institution | Score | | 1:SmartLoc | Nanyang Technological University | 21.7 | | BJTU-DiDi | School of Software Engineering, Beijing Jiaotong University | 45.9 | | AINS | Beijing Automation Control Equipment Institute | -- | | | Team | Institution | Score | | 1: ISCAS | Institute of Software, Chinese Academy of Sciences | 0.4 | | 2: Byr-Trackers | Beijing University of Posts and Telecommunications | 1.7 | | EURECOM | EURECOM | -- | | WSL Hanyang | Hanyang University | -- | | | Team | Institution | Score | | 1: GoD | Beijing University of Posts and Telecommunications | 1.2 | | ISCAS | Institute of Software, Chinese Academy of Sciences | 2.7 |
Offsite-offline Tracks| | |
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| Track 5: Smartphone | Y | LS
15 |
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| | Team | Institution | Score | | 2: UCLab | Nagoya University | 1.0 | | 1: SmartLoc | Nanyang Technological University | 1.3 | | RHW | Royal Holloway University of London | 3.4 | | 3: CARELab | Nara Institute of Science and Technology | 3.6 | | Kaji Lab | Aichi Institute of Technology | 6.3 | | IOT2US | Queen Mary, University of London, Peking University | 6.7 | | -------- | | Off-Track: Dream Hunters | University of Tsukuba, Master's Programs in Intelligent and Mechanical Interaction Systems | 11.9 |
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