activity
20192026
most citedPredicting the Performance of a Computing System with Deep Networks

13 citations · 24 across the 35 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

VRUD: A Drone Dataset for Complex Vehicle-VRU Interactions within Mixed Traffic

Ziyu Wang, Hongrui Kou, Cheng Wang +4

The Operational Design Domain (ODD) of urbanoriented Level 4 (L4) autonomous driving, especially for autonomous robotaxis, confronts formidable challenges in complex urban mixed tr…

cs.RO2026

EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover

Ghadah Alosaimi, Maha Alsayyari, Yixin Sun +3

Brain-computer interfaces (BCIs) provide a hands-free control modality for mobile robotics, yet decoding user intent during real-world navigation remains challenging. This work pre…

cs.RO2025

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions

Yixin Sun, Li Li, Wenke E +2

Detecting traversable pathways in unstructured outdoor environments remains a significant challenge for autonomous robots, especially in critical applications such as wide-area sea…

cs.RO2025

Deep Learning-Enhanced Visual Monitoring in Hazardous Underwater Environments with a Swarm of Micro-Robots

Shuang Chen, Yifeng He, Barry Lennox +2

Long-term monitoring and exploration of extreme environments, such as underwater storage facilities, is costly, labor-intensive, and hazardous. Automating this process with low-cos…

cs.RO2019

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

Bruna G. Maciel-Pearson, Samet Akcay, Amir Atapour-Abarghouei +2

Increased growth in the global Unmanned Aerial Vehicles (UAV) (drone) industry has expanded possibilities for fully autonomous UAV applications. A particular application which has…