Generalized data analysis workflow via a consistent easy to use interface.

python package to open GPM-DPR files into xarray to leverage xarray perks

Utilized an Extended Kalman Filter and Sensor Fusion to estimate the state of a moving object of interest with noisy lidar and radar measurements. The project involved utilzing lidar data (Point Cloud) for position and radar data (Doppler) for radial velocity.

Space Object RADar SIMulator

快速计算商旅轨迹 非线性坐标数据分析

Orbit determination of OPS-SAT-1 based on Doppler shifts observations (M.Sc. thesis topic)

Development of a 24GHz Doppler radar system to measure the speed of a hockey puck. Developed using a STM32L476 Discovery board and a K-LC5 radar module from RFbeam Microwave. Part of PM4 in FS23.

Utilize an Extended Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements

Implementation of the Extended Kalman Filter in C++

Implementing Extended Kalman Filter in C++

Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements

Extended Kalman Filter on LiDAR and Radar sensor feed

Implemented sensor fusion algorithm using an extended Kalman filter that tracks nearby moving objects using RADAR and LIDAR measurements.

Unscented Kalman Filter to estimate the state of multiple cars on a simulated highway environment using noisy lidar and radar measurements

An Extended Kalman Filter Project

In this project we will utilize a kalman filter to estimate the state of a moving object of interest with noisy LIDAR and radar measurements.