@techreport{oai:ipsj.ixsq.nii.ac.jp:00216937,
 author = {Xiangyu, Chu and Ryoichi, Ishikawa and Takeshi, Oishi and Xiangyu, Chu and Ryoichi, Ishikawa and Takeshi, Oishi},
 issue = {6},
 month = {Mar},
 note = {Outdoor visual SLAM is easily affected by dynamic objects, such as moving cars and pedestrians. Moreover, panoramic view tracking has the problem of unstable feature extraction because of the image distortions. We propose a V-SLAM framework with multiple virtual cameras robust to the dynamic environment and computationally efficient while achieving stable camera tracking to solve these issues., Outdoor visual SLAM is easily affected by dynamic objects, such as moving cars and pedestrians. Moreover, panoramic view tracking has the problem of unstable feature extraction because of the image distortions. We propose a V-SLAM framework with multiple virtual cameras robust to the dynamic environment and computationally efficient while achieving stable camera tracking to solve these issues.},
 title = {Robust Outdoor Panoramic View SLAM using Semantic View Filter},
 year = {2022}
}