ABOUT¶

Project Overview¶

AutoDRIVE is envisioned to be an integrated platform for autonomous driving research and education. It bridges the gap between software simulation and hardware deployment by providing the AutoDRIVE Simulator and AutoDRIVE Testbed, a well-suited duo for sim2real applications. It also offers AutoDRIVE Devkit, a developer's kit for rapid and flexible development of autonomy algorithms. Although the platform is primarily targeted towards autonomous driving, it also supports the development of smart-city solutions for managing the traffic flow.

AutoDRIVE Testbed¶


Vehicle	Infrastructure

AutoDRIVE Testbed is the hardware setup comprising of a scaled vehicle model (called Nigel) and a modular infrastructure development kit. The vehicle is equipped with a comprehensive sensor suite for redundant perception, a set of actuators for constrained motion control and a fully functional lighting system for illumination and signaling. It can be teleoperated (in manual mode) or self-driven (in autonomous mode). The infrastructure development kit comprises of various environment modules along with active and passive traffic elements.

Source Branch: AutoDRIVE Testbed
Latest Release: AutoDRIVE Testbed 0.2.0
Upcoming Release: AutoDRIVE Testbed 0.3.0 is currently under development.
Nigel (AS) Build Documentation: Assembly Guide, Assembly Animation and BOM
Nigel (4WD4WS) Build Documentation: Assembly Guide, Assembly Animation and BOM

AutoDRIVE Simulator¶


Vehicle	Infrastructure

AutoDRIVE Simulator is the digital twin of the AutoDRIVE Testbed, which enables the users to virtually prototype their algorithms either due to hardware limitations or as a part of the reiterative development cycle. It is developed atop the Unity game engine and offers a WebSocket interface for bilateral communication with the autonomy algorithms developed independently using the AutoDRIVE Devkit. The standalone simulator application is targeted at Full HD resolution (1920x1080p) with cross-platform support (Windows, macOS and Linux). It is a light-weight software application that utilizes system resources wisely. This enables deployment of the simulator application and autonomy algorithms on a single machine; nonetheless, distributed computing is also supported.

Source Branch: AutoDRIVE Simulator
Latest Release: AutoDRIVE Simulator 0.3.0
Upcoming Release: AutoDRIVE Simulator 0.4.0 is currently under development.

AutoDRIVE Devkit¶


ADSS Toolkit	SCSS Toolkit

AutoDRIVE Devkit is a developer's kit that enables the users to exploit AutoDRIVE Simulator or AutoDRIVE Testbed for rapid and flexible development of autonomy algorithms pertaining to autonomous driving (using ADSS Toolkit) as well as smart city management (using SCSS Toolkit). It supports local (decentralized) as well as distributed (centralized) computing and is compatible with Robot Operating System (ROS), while also offering a direct scripting support for Python and C++.

Source Branch: AutoDRIVE Devkit
Latest Release: AutoDRIVE Devkit 0.3.0
Upcoming Release: AutoDRIVE Devkit 0.4.0 is currently under development.

Awards and Recognition¶

Finalist Award for project "Nigel: A Mechatronically Redundant and Reconfigurable Scaled Autonomous Vehicle of AutoDRIVE Ecosystem" at ASME Student Mechanism and Robot Design Competition (SMRDC) 2023
Best Paper Award for paper "AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education" at CCRIS 2021
Best Project Award for "AutoDRIVE – An Integrated Platform for Autonomous Driving Research and Education" at National Level IEEE Project Competition 2021
Best Project Award for "AutoDRIVE – An Integrated Platform for Autonomous Driving Research and Education" at SRMIST Mechatronics Department 2021
Gold Medal for paper "AutoDRIVE – An Integrated Platform for Autonomous Driving Research and Education" at SRMIST Research Day 2021
Lightning Talk of "AutoDRIVE Simulator: A Simulator for Scaled Autonomous Vehicle Research and Education" at ROS World 2020
India Connect @ NTU Research Fellowship 2020 for "AutoDRIVE Simulator"

Resources¶

Highlights¶

We encourage you to take a look at the following quick highlights to keep up with the recent advances in AutoDRIVE Ecosystem.



AutoDRIVE Ecosystem Pitch Video



AutoDRIVE Simulator Pitch Video	AutoDRIVE Testbed Pitch Video

Nigel 4WD4WS Feature Video	F1TENTH in AutoDRIVE Simulator

OpenCAV in AutoDRIVE Simulator	RZR in AutoDRIVE Simulator

Parallel RL using AutoDRIVE Simulator	Deformable Terrain in AutoDRIVE Simulator

Variability Testing using Nigel	Variability Testing using OpenCAV

Demonstrations¶

We encourage you to take a look at the following research projects developed using the AutoDRIVE Ecosystem.



Autonomous Parking	Behavioural Cloning

Intersection Traversal	Smart City Management

Presentations¶

We encourage you to take a look at the following presentations to gain a better insight into the AutoDRIVE Ecosystem.



SRMIST UG Final Year Project Viva Voce	CCRIS 2021 Virtual Presentation

AutoDRIVE Technical Discussion @ ARMLab CU-ICAR	Autoware COE Seminar

AIM 2023 Video Presentation	OpenCAV Technical Discussion @ ARMLab CU-ICAR

OpenCAV CUICAR AuE Seminar	SMRDC 2023 Finalist Pitch

MECC 2023 Video Presentation	IROS 2023 Presentation