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The next generation of autonomous mobility
MCAV is the premiere engineering student team developing autonomous vehicle and intelligent transport technologies, from Monash University.
About Us
The Monash Connected Autonomous Vehicle (MCAV) team is a diverse and dynamic group, structured into various specialised sub-teams. Each team contributes to the overall mission of advancing autonomous vehicle technology with its unique focus and expertise. Together, these teams embody the collaborative spirit and innovative drive of MCAV, working in tandem to shape the future of autonomous vehicles.
Vision
To create a more efficient, safe, and sustainable future by revolutionising the transportation industry.
Mission
To research and develop innovative and practical connected autonomous vehicle and smart transport network technologies.
Purpose
To pave the way for autonomous mobility through student-led R&D, industry partnerships, and academic collaboration.
Countries
Research Labs
Team Members
Explore Our Projects
on-road Technologies
Urban Autonomy
Software and hardware R&D to achieve SAE Level 4 autonomy with MCAV’s StreetDrone Renault Twizy and Nissan e-NV200 vehicles.
- LiDAR and RGB sensors
- Urban navigation algorithms
- Drive-by-wire technology
- Real-time data processing
- Autonomous control systems
- Safety driver monitoring
FUTURE MOBILITY
Intelligent Transport Systems
Development of connectivity and autonomy co-operative driving technologies to maximise wide-scale transport network efficiency.
- Co-operative driving
- V2X communication
- Real-time connectivity
- Network optimisation
- Traffic flow management
- Infrastructure integration
INTERNATIONAL COMPETITIONS
ESDA
Custom-built Electric Self Driving Automobile (ESDA) for the Intelligent Ground Vehicle Competition in Michigan, USA.
- Autonomous navigation
- Vehicle design
- PCB design and HV systems
- EV engineering
- Robotics integration
- Mechanical analysis
Major Sponsors
Research Disciplines
MCAV is a multi-disciplinary team, harnessing the strengths of all team members across the university.
Electrical & Computer Systems Engineering
- Design and integration of electronic control systems, sensors, and actuators
- Development of communication systems for V2V, V2I through DSRC, and C-V2X.
- Implementation of embedded systems for real-time data processing.
Mechanical, Materials & Civil Engineering
- Development of vehicle dynamics, propulsion systems, and energy-efficient designs.
- Innovation in materials for lightweight and durable vehicle structures.
- Design of infrastructure modifications to accomodate CAVs, such as smart roads.
Software Engineering, Computer Science & IT
- Development of algorithms for autonomous driving, including machine learning and AI.
- Creation of software for data analytics, traffic simulation, and vehicle network security.
- Design and maintenance of IT infrastructure supporting CAV and ITS operations.
Arts & Design
- Conceptualising UI and UX design for vehicle control systems and passenger interaction.
- Designing aesthetic and functional aspects of vehicles and related infrastructure.
- Visualising and creating communication materials to represent CAV concepts.
Business, Commerce & Legal
- Strategy development for commercialisation, partnerships, and stakeholder engagement.
- Financial modelling and asset management for research and development projects.
- Addressing regulatory and compliance issues, including privacy and data protection.
And many more…
Beyond the disciplines listed, MCAV embraces a wide array of expertise contributing to our R&D efforts.
If you believe you have unique skills to offer, we encourage you to apply and join our innovative team!
Join our mailing list!
Stay in the know about our upcoming industry and demo events, research outcomes, and major technological developments.
Expect a few emails a year.
MCAV Blog
Latest News
How Connectivity will Increase Efficiency and Safety in Transportation
Bringing connectivity to autonomous vehicles will propel transportation forward with increases in efficiency, safety and reliability. Learn more about our Smart Future Systems development…
Intersection Control
Motivation The intersection braking scenario was created as a way to implement a combination of systems designed by the Hardware, Software and Connectivity teams.…
Intersection Control Algorithm
In 2020, the connectivity sub-section of MCAV began researching and developing an algorithm for autonomous vehicles to efficiently navigate intersections through V2V communication.Throughout 2021,…
Artificial Intelligence
Computer Vision
ROS
C-V2X
IoT
ADAS
Artificial Intelligence
Computer Vision
ROS
C-V2X
IoT
ADAS
Artificial Intelligence
Computer Vision
ROS
C-V2X
IoT
ADAS