DENALI is the first large-scale real-world dataset of space-time histograms from low-cost LiDARs for training models to perceive hidden objects via multi-bounce light cues.
Multi-modal sensor fusion for auto driving perception: A survey
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DCDA uses 4D radar-conditioned diffusion with dual critics to align degraded LiDAR features to a clean manifold, enabling generalization to unseen weather types and severities without paired data or labels.
Vision paper proposing M3T FedFMs for vehicular networks, discussing principles, use cases, challenges, and demonstrating with Waymo dataset case study.
Presents an AV Resilient architecture with redundancy, diversity, adaptive reconfiguration, and anomaly- and hash-based intrusion detection, experimentally validated on the Quanser QCar platform for detecting depth camera blinding and perception module tampering.
A survey organizes synthetic data use, digital twin simulation, and domain adaptation techniques for autonomous driving while identifying open challenges like Sim2Real transfer.
citing papers explorer
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DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs
DENALI is the first large-scale real-world dataset of space-time histograms from low-cost LiDARs for training models to perceive hidden objects via multi-bounce light cues.
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Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment
DCDA uses 4D radar-conditioned diffusion with dual critics to align degraded LiDAR features to a clean manifold, enabling generalization to unseen weather types and severities without paired data or labels.
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Federated Foundation Models over Vehicular Networks
Vision paper proposing M3T FedFMs for vehicular networks, discussing principles, use cases, challenges, and demonstrating with Waymo dataset case study.
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Security and Resilience in Autonomous Vehicles: A Proactive Design Approach
Presents an AV Resilient architecture with redundancy, diversity, adaptive reconfiguration, and anomaly- and hash-based intrusion detection, experimentally validated on the Quanser QCar platform for detecting depth camera blinding and perception module tampering.
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From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving
A survey organizes synthetic data use, digital twin simulation, and domain adaptation techniques for autonomous driving while identifying open challenges like Sim2Real transfer.