Autonomous Vehicles Lab
At Khalifa University's Autonomous Vehicles 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.
- New Publication: Trajectory Prediction for Autonomous Driving Progress, Limitations, and Future Directions. Information Fusion
- New Publication: RobMOT: Enhancing 3D Multi-Object Tracking Through Observational Noise and State Estimation Drift Mitigation in LiDAR Point Clouds. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
- New Publication: Online Risk-Bounded Graph-Based Local Planning for Autonomous Driving with Theoretical Guarantees. ICRA 2025
- 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
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