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See the code
https://github.com/ApolloAuto/apollo/blob/c104ebb3bd95e1331dd99c9df4b3a488615ca767/modules/perception/obstacle/camera/filter/object_camera_filter.cc#L97
Since the essence of the Kalma…
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Some time ago, I played around with the DD2 Kalman filter--see "New developments in state estimation for nonlinear systems" by Nørgaard, Poulsen, Ravn in Automatica 36 (11), 1627-1638 (doi:`10.1016/s0…
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Based on these works:
R. Xiong, H. He, F. Sun, and K. Zhao, “Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach,” IEEE Trans. Veh. Tec…
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while importing import ukfm, faced the following error:
![image](https://user-images.githubusercontent.com/55294737/139468575-2fba2a25-2794-40c7-94fa-8219e08f032e.png)
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# High level description
Least squares batch filters and classical Kalman filters are both methods for estimating the state of a dynamic system from noisy measurements. They both use a mathematical…
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My task is use yolox to run object detect with YoloX, instead of tracking.
I trained yolox on many images with bboxes of car, then run car detection on a video.
But some of the frames are missing,…
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Add a simple implementation to handle state space models with diffuse initial conditions.
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Hi,
First of all a HUGE THANKS to your code. I was almost giving up of the sensor MPU6050 when I came to your code and finally could get nice results.
I only need yaw, pitch and roll. I know yaw is …
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Hello @jdrescher2006
I notified something weird: I found some points in the training data (by scrolling the diagrams) which were showing higher speed than the maximum speed at the details page.
…
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First off, thank you for all the hard work you have done in developing this package for R/stan. I am very excited to get to use it but I am having some trouble with computational speed. I wonder if I …