Researchers need an effective method to test autonomous driving in connected urban environments.
Validation & testing processes for connected autonomous vehicles have high costs
Computer simulations are developed & uncertainties like sensor noise simulated externally
A large team has to be deployed for development on road-vehicles with dedicated hardware infrastructure
Lacks real life uncertainty when driving and developing scenarios such as road slippage
Infrastructure development is extremely expensive and unsafe
Iterating algorithms for on-road vehicle testing is highly time-consuming and non-modular
Develop a scaled, smart city and scaled autonomy-capable vehicles with a data acquisition platform.
A 24' by 24' space with an urban layout containing roundabouts, one-way streets, roads, intersections and traffic lights.
Model vehicles built on RC-car chassis, with modular drivetrain and integrated vision systems to create a separation of concern.
An interface to log and make sensor generated data accessible, and allow sensor fusion algorithms to be iterated with ease.
Scaled vehicles equipped with cutting edge GPUs that are compact but highly performant, providing low sensor output latency.
The smart city and smart vehicles are modular, making improvements easy and enabling researchers to push boundaries.
Vehicles are equipped with the latest LIDAR technology, cameras and IMUs for localization and mapping capabilities.
We are 4B Mechatronics Engineering students looking to accelerate society towards a more and better connected future.