AV Education

Autonomous Vehicles Scenario Testing Framework and Model of Computation

Autonomous Vehicle (AV) technology has the potential to fundamentally transform the automotive industry, reorient transportation infrastructure, and significantly impact the energy sector. Rapid progress is being made in the core artificial intelligence engines which form the basis of AV technology. However, without a quantum leap in test and verification, the full capabilities of AV technology will not be realized. Critical issues include finding and testing complex functional scenarios, verifying that sensor and object recognition systems accurately detect the external environment independent of weather conditions, and building a regulatory regime which enables accumulative learning. The major contribution of this paper is to outline a novel methodology for solving these issues with the use of the Florida Poly AV Verification Framework (FLPolyVF).Full Publication Here

Documents Attached to AV Education:
Autonomous Vehicles Scenario Testing Framework and Model of Computation