This repository contains a few selected completed projects in Udacity self-driving car nanodegree program (link). The projects are related to perception, SLAM, path planning and control.
| Project Description | Project Link |
|---|---|
| Semantic Segmentation: Deletecting road pixels in an image using Deep Learning based semantic segmentation | Link |
| Object Detection: Deletecting & localizing vehicles on a road using Histogram of Oriented Gradients (HOG) and a linear SVM | Link |
| Object Detection: Deletecting driving lane using color gradients | Link |
| Behavioral cloning: Behavioral cloning using a CNN in a simulated environment | Link |
| Project Description | Project Link |
|---|---|
| Model Predictive Control: MPC to control a vehicle given waypoints to be followed and control information | Link |
| Extended Kalman Filter: EKF to localize a vehicle using simulated LiDAR and RADAR data | Link |
| Unscented Kalman Filter: UKF to localize a vehicle using simulated LiDAR and RADAR data | Link |
| Particle Filter: PF to localize a vehicle using noisy sensor data & map landmark overservations | Link |
| Project Description | Project Link |
|---|---|
| Model Predictive Control to control a vehicle given waypoints to be followed and control information | Link |