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Modeling Robotics Dataset Construction as an Artifact-Based Build Process
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Bazel Beyond Code: Scalable AI Data Pipelines for Autonomous Systems
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A Multi-Vehicle Dataset with Camera, LiDAR, and Radar Sensors and Scanned 3D Models for Custom Auto-Annotation using RTK-GNSS
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Knowledge Distillation for Semantic Segmentation
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Collision Probability Distribution Estimation via Temporal Difference Learning
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Perception-Based Accurate Autonomous Vehicle Following in GNSS-Denied Environments
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Multimodal Odometry Estimation With Automated Sensor Selection
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Taking Advantage of Road Users Occluding the Road: Supporting Camera-based Road Tracking in Shared Spaces using Radar Doppler Measurements
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