Introduction

JKCOM is a high-performance, open-source perception and mapping stack designed for autonomous electric vehicles. It leverages visual semantic segmentation, radar Doppler processing, and centimeter-level localization to provide a robust foundation for autonomous mobility.

System Architecture

[ Sensors ] ----> [ Perception ] ----> [ Fusion ] ----> [ Mapping ]
    |                |                   |                |
    +-- Camera <-----+                   |                |
    +-- Radar <--------------------------+                |
    +-- GPS/IMU <------------------------+----------------+

The stack is modular. Each component communicates via an internal messaging bus (or ROS 2 in production environments).

Installation

Clone the repository and install dependencies:

git clone https://github.com/olivestackscode/JKCOM.git
cd JKCOM
pip install -r requirements.txt

Quick Start

To launch the local simulation server and dashboard:

python server.py

Head over to http://localhost:8000 to see the live feed.

Use Cases

Autonomous Delivery

Using JKCOM for last-mile delivery in urban corridors with precision mapping.

Regional Transit

Enabling autonomous shuttle services for university campuses and gated communities.