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The StreetDrone

Welcome to the StreetDrone project, a pioneering initiative by the Monash Connected Autonomous Vehicles (MCAV) team, passionately striving to revolutionize the concept of urban mobility. Our singular mission: to create software that propels our electric Renault Twizy to achieve Level 4 autonomy, capable of self-driving in urban environments.

Our StreetDrone project is built upon four primary pillars:

  • Localisation: The ability to understand the car's precise location on a map.

  • Perception: The capability to recognise other road users, including pedestrians and vehicles, and predict their movements.

  • Planning: The process of making real-time decisions on the car's manoeuvres, such as accelerating, decelerating, or turning.

  • Controls: The accurate execution of these decisions through the steering wheel, accelerator, and brake pedals.

In the pursuit of this goal, we continually write, test, and refine the software that performs these tasks, enhancing the car's capabilities around the university and beyond. With the StreetDrone project, we invite you to join us as we delve into the practical application of self-driving technology in urban settings. Welcome to the future of transportation!


→ The StreetDrone Team

The StreetDrone team prioritises building fail-proof systems that can allow for Level 4 autonomous driving in an urban environment. To do so, any vehicle would need to percieve the environment, plan and navigate through it.

Perception System

To understand dynamic changes in the vehicles environment, the perception team uses both camera and LiDAR to identify, track and predict object behaviour over time. 

Navigation System

Our navigation team works on simultaneous localisation and mapping to pin point where we are in our environment. Knowing this information, the vehicle can plan to drive to a destination while handling edge cases (obstacle avoidance) as it goes.

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Control System

The control team works on systems that provide precise actuation commands to the vehicle while utilising feedback to ensure our vehicle follows the path that it creates. 

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