From 65c3df3c05c7d937721cba1841f674f43b6c138e Mon Sep 17 00:00:00 2001 From: Andrea Palazzi Date: Mon, 27 Nov 2017 21:29:29 +0100 Subject: [PATCH] Update README.md --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index 01cacd0..26e8d88 100644 --- a/README.md +++ b/README.md @@ -117,6 +117,13 @@ Hope this might be useful to someone! :-) - **Summary:** Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Implemented the same pipeline using a deep network to perform detection. Optimized and evaluated the model on video data from a automotive camera taken during highway driving. - **Keywords:** Computer Vision, Deep Learning, OpenCV + #### [P6 - Extended Kalman Filter](project_6_extended_kalman_filter) + - **Summary:** Implement the extended Kalman filter in C++. Simulated lidar and radar measurements are used to detect a bicycle that travels around your vehicle. Kalman filter, lidar measurements and radar measurements are used to track the bicycle's position and velocity. + - **Keywords:** C++, Kalman Filter + + #### [P7 - Unscented Kalman Filter](project_7_unscented_kalman_filter) + - **Summary:** Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements. Kalman filter, lidar measurements and radar measurements are used to track the bicycle's position and velocity. + - **Keywords:** C++, Kalman Filter