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Title | CRUW |
Description | Search this site Skip to navigation CRUW Dataset Home Introduction Resources Download ROD2021 About CRUW Dataset Home Introduction Resources Download ROD2 |
Keywords | N/A |
WebSite | cruwdataset.org |
Host IP | 216.239.36.21 |
Location | United States |
Site | Rank |
US$2,868,064
Last updated: 2023-05-07 08:43:37
cruwdataset.org has Semrush global rank of 3,690,400. cruwdataset.org has an estimated worth of US$ 2,868,064, based on its estimated Ads revenue. cruwdataset.org receives approximately 330,931 unique visitors each day. Its web server is located in United States, with IP address 216.239.36.21. According to SiteAdvisor, cruwdataset.org is safe to visit. |
Purchase/Sale Value | US$2,868,064 |
Daily Ads Revenue | US$2,648 |
Monthly Ads Revenue | US$79,424 |
Yearly Ads Revenue | US$953,080 |
Daily Unique Visitors | 22,063 |
Note: All traffic and earnings values are estimates. |
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cruwdataset.org. | NS | 21600 | NS Record: ns-cloud-c2.googledomains.com. |
cruwdataset.org. | NS | 21600 | NS Record: ns-cloud-c3.googledomains.com. |
cruwdataset.org. | NS | 21600 | NS Record: ns-cloud-c4.googledomains.com. |
Search this site Skip to navigation CRUW Dataset Home Introduction Resources Download ROD2021 About CRUW Dataset Home Introduction Resources Download ROD2021 About More Home Introduction Resources Download ROD2021 About CRUW Dataset CRUW is a public camera-radar dataset for autonomous vehicle applications. It is a good resource for researchers to study FMCW radar data, that has high potential in the future autonomous driving. News 2022/01/01 ROD2021 evaluation server is reopened. Welcome to submit your results! [ Evaluation Server ] 2021/11/17 ROD2021 Challenge Session @ ACM ICMR 2021. [ Challenge Summary Paper ] [ Summary Recording ] 2021/06/20 Our work is presented in the Workshop on Autonomous Driving (WAD) at CVPR 2021. [ Paper ] [ Spotlight ] [ Poster ] [ WAD Full Video ] 2021/02/06 The extended journal version of the RODNet paper: RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization is accepted by IEEE J-STSP . [ Early |
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