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cs.RO2023
An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles
Dan Shen, Zhengming Zhang, Renran Tian +2
LiDAR-camera fusion is one of the core processes for the perception system of current automated driving systems. The typical sensor fusion process includes a list of coordinate tra…
cs.RO2022
SceNDD: A Scenario-based Naturalistic Driving Dataset
Avinash Prabu, Nitya Ranjan, Lingxi Li +4
In this paper, we propose SceNDD: a scenario-based naturalistic driving dataset that is built upon data collected from an instrumented vehicle in downtown Indianapolis. The data co…