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Drift trajectory in open space? #379
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I am not sure. Do you have the configuration files you used to launch OpenVINS? Does the feature tracking look good? Does this sensor work for general 3D motion for you with good quality? If you are running on a car dataset, I recommend using a mask to remove features from the dash. See the rpng_ironsides dataset for and example car dataset. |
My configuration was like this: estimator_config.yaml:
kalibr_imucam_chain.yaml:
launch_d455.example:
subscribe.launch:
Unfortunately, I did not pay attention to the tracking functions, I mainly focused on the trajectory of the visualizer, but I think this can be reproduced using the ROS bag attached to the message, if your don’t mind checking it out, I’m just starting to understand openvins. This is a good question, I'm probably not so savvy as to give a definite answer, I used an intel realsense d455 in stereo mode. Can I make a homemade mask to cover the bonnet? I suppose this will not solve all the problems, for example, the re-reflection of light from the bonnet onto the camera may disrupt the exposure, but unfortunately I do not have a tripod for external mounting of the camera(((. |
What is the reason for the occurrence of drift in open spaces in various navigation frameworks? I tested 5 different frameworks realtime on the car in different modes (vins-rgb-d mono+rgb-d mode, orb-slam3 rgb-d-inertial, rebivo mono, rtab-map rgb-d, openvins stereo) and everywhere I get a similar result and strong drift effects?
Unfortunately, I could not set up the r-viz visualizer well, the trajectory on the record can be very poorly visible((
https://youtu.be/LlvSzjQ40l4
Rosbag_all_topic_d455
Short_tf_static_rqt
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