RAIL-BENCH is the first standardized benchmark suite for railway perception with five challenges, real-world datasets, and a novel LineAP metric for rail track detection.
Spatial as deep: Spatial cnn for traffic scene understanding
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Real-time deep network approach on 2D LIDAR bird's-eye views for detecting visible and occluded curbs with post-processing tracking.
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Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain
RAIL-BENCH is the first standardized benchmark suite for railway perception with five challenges, real-world datasets, and a novel LineAP metric for rail track detection.
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Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR
Real-time deep network approach on 2D LIDAR bird's-eye views for detecting visible and occluded curbs with post-processing tracking.