OSCAR

Open-Source Self-Driving CAR

OSCAR is an open-source project that aims to provide a fully functional autonomous driving platform and easy-to-use tools to speed up the autonomous driving development process.

Conceptual overview of OSCAR

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Multicore/GPGPU HW/SW Platform

SW platform with techniques to optimize the performance of an open source autonomous driving platform in an embedded board-based environment.

Multicore/GPGPU HW/SW Platform
Perform autonomous driving missions with real-world vehicles (avoid obstacles, pass through toll booths, make emergency stops after detecting pedestrians, drive around challenging curves)

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Remote Laboratory

The remote laboratory extends the accessibility of OSCAR.

Remote laboratory setup Remote laboratory features

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Schedule Theory Research

SW Platform extends the scheduling theory that optimally utilizes the parallelism of tasks performed in a multicore/GPGPU environment to a parallelism utilization technique and applies it to an open source autonomous driving platform.

Schedule Theory Research

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Concurrent Verification Methods

A verification tool that implements simulation techniques to functionally and temporally accurately simulate cyber-physical systems based on variable duration tasks.

Concurrent Verification Methods

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Scaled Platform

Scaled platform is a cost-effective solution for field testing.

OSCAR scaled platform architecture

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OSCAR IDE

OSCAR IDE is an end-to-end design tool covering both hardware and software modules of an autonomous car.

A block diagram representation of a sample autonomous driving system

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