K and K autonomous

K and K Autonomous is an autonomous driving system that leverages the Deep Learning methods for depth estimation,object detection,lane segmentation and Rule-based planning. The system is designed to assist in driving by maintaining lane centering and providing driving assistance.

Knk-Vision

KNK-Vision is a computer vision module used for vehicle detection, lane detection, and depth estimation from monocular camera images.KNK-Vision uses the YOLOP for real-time lane segmentation and vehicle detection. Depth estimation is done using Vidar

Demo

After inference

MetaDrive inference

Installation

Follow these steps to set up the KNK-Vision environment and install the necessary dependencies:

1. Clone the repository: git clone https://github.com/geci-final/knk-autonomous

2. Navigate to the cloned repository:

   cd knk-autonomous

3. clone the submodules

    git submodule update --init --recursive

4. If you haven't already, install conda.

5. Create a new conda environment from the environment.yaml file:

   conda env create -f environment.yml

6. Activate the new environment:

   conda activate knk-autonomous

Contributing

We welcome contributions!