Autonomous Vehicle Lab
At Khalifa University's Autonomous Vehicle Lab (AV-Lab), we're dedicated to pioneering research on autonomous vehicle technology, focusing on the safe operation, seamless integration into smart urban ecosystems, and the alignment of the AI systems with passenger needs.
Our research revolves around the following questions:
- What strategies can be adopted to guarantee safety within the vital components of the autonomous vehicle's decision-making process?
- How can multi-agent autonomous vehicles effectively share sensory data and decision-making information, along with inherent uncertainties, by utilizing Vehicle-to-Everything (V2X) technology?
- How can we design decision-making strategies that offer robust safety assurances through rigorous theoretical validation?
News
- 3 papers accepted at IEEE ICAR 2023
- AV Lab wins a $100,000 prize at the RTA self-driving transport challenge 2023
- New Publication: A Fully Polynomial Time Approximation Scheme for Constrained MDPs under Local Transitions. IEEE CDC 2023
- New Publication: Approximability and Efficient Algorithms for Constrained Fixed-Horizon POMDPs with Durative Actions. AIJ
- New Publication: DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities. ACM E-Energy 2023
- New Publication: DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion. ICRA 2023
- New Publication: A Unified Framework for POMDPs with Constraints and Durative Actions, AAAI 2023
- New Publication: Approximations for Generalized Unsplittable Flow on Paths with Application to Power Systems Optimization
- Open Desert Trail Detection (O2DTD) Dataset Released!
- We are hiring!
- New Publication: Autonomous Recharging and Flight Mission Planning for Battery-Operated Autonomous Drones
- Autonomous Vehicle Lab Launch
- AV Lab wins 1st spot at the RTA self-driving transport challenge
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