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Do you have IMU data in KITTI?
I'm sorry to ask you something that is not related to VINet, but I hope I can ask you about IMU data. Because My attention is the fuse of IMU and visual. But I can't download the IMU data from the KITTI. So here I ask you if you have KITTI ’s IMU data.
Hi,
The IMU data is located in KITTI raw dataset. You can find a mapping information from KITTI Odometry dataset to KITTI raw dataset in the readme of the Kitti odometry development kit:
Mapping to Raw Data
Note that this section is additional to the benchmark, and not required for solving the object detection task.
In order to allow the usage of the laser point clouds, gps data, the right camera image and the grayscale images for the TRAINING data as well, we provide the mapping of the training set to the raw data of the KITTI dataset. The following table lists the name, start and end frame of each sequence that has been used to extract the visual odometry / SLAM training set:
Nr. Sequence name Start End 00: 2011_10_03_drive_0027 000000 004540 01: 2011_10_03_drive_0042 000000 001100 02: 2011_10_03_drive_0034 000000 004660 03: 2011_09_26_drive_0067 000000 000800 04: 2011_09_30_drive_0016 000000 000270 05: 2011_09_30_drive_0018 000000 002760 06: 2011_09_30_drive_0020 000000 001100 07: 2011_09_30_drive_0027 000000 001100 08: 2011_09_30_drive_0028 001100 005170 09: 2011_09_30_drive_0033 000000 001590 10: 2011_09_30_drive_0034 000000 001200
Are you Chinese?You can ignore my previous information. Can you give me a email? I have the imu data of sync and unsync. What's you want?
------------------ 原始邮件 ------------------ 发件人: "HTLife/VINet" <[email protected]>; 发送时间: 2020年10月19日(星期一) 晚上9:51 收件人: "HTLife/VINet"<[email protected]>; 抄送: "丘金光"<[email protected]>;"Author"<[email protected]>; 主题: Re: [HTLife/VINet] Do you have IMU data in KITTI? (#8)
Hi,
The IMU data is located in KITTI raw dataset. You can find a mapping information from KITTI Odometry dataset to KITTI raw dataset in the readme of the Kitti odometry development kit:
Mapping to Raw Data
Note that this section is additional to the benchmark, and not required for solving the object detection task.
In order to allow the usage of the laser point clouds, gps data, the right camera image and the grayscale images for the TRAINING data as well, we provide the mapping of the training set to the raw data of the KITTI dataset. The following table lists the name, start and end frame of each sequence that has been used to extract the visual odometry / SLAM training set:
Nr. Sequence name Start End 00: 2011_10_03_drive_0027 000000 004540 01: 2011_10_03_drive_0042 000000 001100 02: 2011_10_03_drive_0034 000000 004660 03: 2011_09_26_drive_0067 000000 000800 04: 2011_09_30_drive_0016 000000 000270 05: 2011_09_30_drive_0018 000000 002760 06: 2011_09_30_drive_0020 000000 001100 07: 2011_09_30_drive_0027 000000 001100 08: 2011_09_30_drive_0028 001100 005170 09: 2011_09_30_drive_0033 000000 001590 10: 2011_09_30_drive_0034 000000 001200
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Hi would you please share IMU data of sync ?
Could you please send the sync and unsync imu data to [email protected]? I would be really appreciated.
Hello, could you please share the imu related data? my email address is [email protected] Thank you in advance!
Hi,
You can find the some of the kitti imu unsync data in this link below:
Shiyao-Xu @.***>, 9 Mar 2023 Per, 16:19 tarihinde şunu yazdı:
Hello, could you please share the imu related data? my email address is @.*** Thank you in advance!
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https://drive.google.com/drive/folders/1zHmpGgdVVFHYEFd3ssyI7_vOXsXrChiR?usp=sharing
Shiyao-Xu @.***>, 9 Mar 2023 Per, 16:19 tarihinde şunu yazdı:
Hello, could you please share the imu related data? my email address is @.*** Thank you in advance!
— Reply to this email directly, view it on GitHub https://github.com/HTLife/VINet/issues/8#issuecomment-1462057299, or unsubscribe https://github.com/notifications/unsubscribe-auth/A3CXV2TOWCXVQKBXH3PQNA3W3HKHLANCNFSM4NQN7OLA . You are receiving this because you commented.Message ID: @.***>
Could you please send the unsync imu data to [[email protected]]? I would be really appreciated.