<aside> 🛼 Roles: Software and Robotics Developer - UA

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What we do

The Urban Autonomy team is working towards an Autonomous Valet Parking (AVP) demo using 2 distinct vehicles that will communicate with each other and parking infrastructure to negotiate usage of parking spaces and park within them effectively

Using Autoware + Rviz (top right) to perform Planning Simulation. Autoware uses ROS 2 to control steering/speed via the Vehicle Interface (C++) program. Towards the end of the video you can see that the reversing is not quite working (possibly a task for you to resolve…)

Using Autoware + Rviz (top right) to perform Planning Simulation. Autoware uses ROS 2 to control steering/speed via the Vehicle Interface (C++) program. Towards the end of the video you can see that the reversing is not quite working (possibly a task for you to resolve…)

Our vehicles (Renault Twizy and Nissan ENV200) are fitted with various sensor and compute technologies that we utilise such as LiDAR systems, stereo cameras, and radar. We have migrated to Autoware, the world’s largest open source autonomous driving stack, and are currently implementing V2I (vehicle-to-infrastructure) communication with custom infrastructure nodes.

Our Software

GitHub - Monash-Connected-Autonomous-Vehicle/SD-VehicleInterface at ackermann

GitHub - Monash-Connected-Autonomous-Vehicle/autoware: Autoware - the world's leading open-source software project for autonomous driving

What we are working on

• V2I communication with custom infrastructure hardware
• Hardware-in-the-loop testing