NERVE is a new 600GB multi-sensor dataset with DVS, RGB-D, and 24/77GHz radar plus baselines showing DVS+77GHz radar fusion improves human detection to 47.5% mAP with sub-1.8m distance error.
The multivehicle stereo event camera dataset: An event camera dataset for 3d perception
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NeuroLiDAR adaptively boosts LiDAR frame rates to 27.8-66 Hz via event-camera fusion and cuts depth RMSE by 29% on a new ELiDAR dataset.
Neural networks estimate depth distributions from event camera data using six input representations and three uncertainty models, with 10-bin log-normal and 5-bin evidential variants performing best on synthetic-to-real transfer.
citing papers explorer
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NERVE: A Neuromorphic Vision and Radar Ensemble for Multi-Sensor Fusion Research
NERVE is a new 600GB multi-sensor dataset with DVS, RGB-D, and 24/77GHz radar plus baselines showing DVS+77GHz radar fusion improves human detection to 47.5% mAP with sub-1.8m distance error.
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NeuroLiDAR: Adaptive Frame Rate Depth Sensing via Neuromorphic Event-LiDAR Fusion
NeuroLiDAR adaptively boosts LiDAR frame rates to 27.8-66 Hz via event-camera fusion and cuts depth RMSE by 29% on a new ELiDAR dataset.
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Neuromorphic Monocular Depth Estimation with Uncertainty Modeling
Neural networks estimate depth distributions from event camera data using six input representations and three uncertainty models, with 10-bin log-normal and 5-bin evidential variants performing best on synthetic-to-real transfer.