Autonomous Vehicle Lab
At Khalifa University's Autonomous Vehicle Lab, our research focuses on advancing autonomous vehicle technology, prioritizing safety, seamless integration into smart urban environments, and ensuring AI systems are aligned with passenger needs.
Our key research areas include:
- Developing strategies to enhance the safety of key components in AV decision-making.
- Enabling multi-agent vehicles to safely and efficiently share perception and decision-making data, including epistemic and aleatoric uncertainties, through V2X industry standards.
- Designing decision-making frameworks that deliver strong safety assurances, grounded in rigorous theoretical validation.
News
- New Publication: Evaluation of Predictive Display for Teleoperated Driving using CARLA Simulator. IROS 2024
- New Publication: A Transformer-Based Framework for Vision-Centric Autonomous Navigation in Off-Road Environments. IROS 2024
- Join the Third ROAD++ Challenge at ECCV 2024!
- New Publication: TerrainSense: Vision-Driven Mapless Navigation for Unstructured Off-Road Environments. ICRA 2024
- 3 papers accepted at IEEE ICAR 2023
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