Lucas C. de Assis
Papers
1
Total Citations
2
H-Index
1
About
Lucas C. de Assis is a researcher focused on autonomous systems and simulation-based development, with a particular emphasis on bridging the gap between virtual environments and real-world vehicle control. His most notable contribution is the "AImotion Challenge Results: a Framework for AirSim Autonomous Vehicles and Motion Replication" (2022), which presents a novel framework for creating autonomous vehicles within the AirSim simulation environment. This work addresses the growing need for cost-effective, safe testing of high-risk driving scenarios by enabling motion replication and vehicle autonomy in simulated settings. While his citation count is currently modest (2 citations for this paper), his framework represents an important step in making simulation tools more accessible and practical for autonomous vehicle research. De Assis’s work contributes to the broader field of robotics and AI, where simulation fidelity and real-world transferability remain critical challenges. His research is particularly valuable for students and engineers seeking to develop and validate autonomous driving algorithms without the expense and risk of physical testing.
Research Focus
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Top Papers
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