- 26
- 19 797
Hang Yan
เข้าร่วมเมื่อ 27 ก.พ. 2012
RIDI: Robust IMU Double Integration
The demo video for our work on IMU double integration. Please refer to
yanhangpublic.github.io/ridi/index.html
for the paper, code and data.
yanhangpublic.github.io/ridi/index.html
for the paper, code and data.
มุมมอง: 16 432
วีดีโอ
Turning an Urban Scene Video into a Cinemagraph - Demo Video
มุมมอง 2.5K7 ปีที่แล้ว
My latest research. Paper link: arxiv.org/abs/1612.01235
Modeling static scenes with dynamic appearance for time-depend rendering
มุมมอง 487 ปีที่แล้ว
Demo video made for CVPR 16 submission. Interesting part starts from 1:17
Hi, What would be the most appropriate method for calculating the position of an object using linear acceleration data from a BNO055 sensor, given the potential presence of noise and errors in the data? Additionally, what techniques or methods can be employed to mitigate these issues and improve the accuracy of the position calculation?
Fantastic stuff!
What do you think might happen if you used multiple IMUs arranged in such a way that no IMU had parallel/co-planar planes to the others? Would the extra ability to isolate noise by calculating the virtual IMU help clean up the signal even more?
How would you remove noise in your example? Do you have a paper that details this technique that you could recommend? I'm using IMUs for pedestrian tracking and haven't come across two (or more) being used in this way. Interested to hear what you have to say!
Hi ,i wish you are good please would uu send me the data because there aren't anymore on the site
There is improved data for their work under a project called RoNIN!
Awesome work!!
Interesting, could directly integrating the regressed velocities (orange line) also work? (Edit: just read it in the paper, "Direct integration of the predicted velocities would produce positions but performs worse.")
great work
Can't wait for the next improvement 👍, hope its small enough to apply this in an arduino for vehicle tracking
Why blur the face of the person (I'm guessing it's the author's face) at 3:39, when at 0:38 there's 4 shots showing the (your) face? Really impressive research, nevertheless!
Very nice work
Nice work! :)
Good work!
Why does the original error occur during the double integration?
th-cam.com/video/_q_8d0E3tDk/w-d-xo.html
th-cam.com/video/_q_8d0E3tDk/w-d-xo.html
various white noise, random walk noise and bias. once integrate them together, you amplify the noise. See github.com/ethz-asl/kalibr/wiki/IMU-Noise-Model for detail
diao