diegoavillegasg/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation
State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
Python
Issues
- 0
I want to evalute the accuracy of estimated value and the ground truth,but i am surprised to find that the two dimensions(ground truth is 8734, estimate is 10918) is are different,why?
#4 opened by miaozujia - 0
paper about this code
#3 opened by liangsongLee - 4
- 0
Help needed to test the package
#1 opened by ajay1606