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.
Digging into self-supervised monocular depth estimation
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ArticuSurDepth achieves improved self-supervised surround depth on articulated vehicles by enforcing cross-vehicle 3D geometric consistency and structural priors from foundation models.
citing papers explorer
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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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Cross-Vehicle 3D Geometric Consistency for Self-Supervised Surround Depth Estimation on Articulated Vehicles
ArticuSurDepth achieves improved self-supervised surround depth on articulated vehicles by enforcing cross-vehicle 3D geometric consistency and structural priors from foundation models.