TouchDeeper / VIW-Fusion

Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light
GNU General Public License v3.0
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ground_truth #28

Closed JDYS12138 closed 1 month ago

JDYS12138 commented 1 month ago

Does the dataset provided by the author contain real trajectories?

srividyaprasad commented 1 month ago

No messages in /vins_estimator/groundtruth topic. Requesting the author to provide a dataset with Lidar ground truth.

TouchDeeper commented 1 month ago

@JDYS12138 @srividyaprasad This dataset does not have ground truth. You can use the distance between the start and end points as the ground truth, or use the trajectory after loop closure as the ground truth. Alternatively, you can use some datasets that include wheel speed and have ground truth, such as openloris-scene.

srividyaprasad commented 1 month ago

Great, thanks a lot. Will try these routes.

How have you achieved your error results and how can I recreate your results? To benchmark this against VINS-Fusion and other VIO repos.

On Sun, Aug 4, 2024, 7:40 PM 庄庭达 @.***> wrote:

@JDYS12138 https://github.com/JDYS12138 @srividyaprasad https://github.com/srividyaprasad This dataset does not have ground truth. You can use the distance between the start and end points as the ground truth, or use the trajectory after loop closure as the ground truth. Alternatively, you can use some datasets that include wheel speed and have ground truth, such as openloris-scene.

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TouchDeeper commented 1 month ago

@srividyaprasad there is start-end error result in my thesis paper, you can refer to the data in Table 5-1 and Table 5-2.

srividyaprasad commented 1 month ago

Thank you

srividyaprasad commented 1 month ago

https://github.com/TouchDeeper/VIW-Fusion/blob/master/config/OpenORIS/realsense_stereo_imu_config.yaml Are these OpenLORIS extrinsic and intrinsic parameters configured and run by you?