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23 April 2021 The Michigan Tech autonomous winter driving data set: year two
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Abstract
We present results of the second round of data from an autonomous driving surrogate sensor pod mounted to the roof rails of a light duty truck. Coupled to a custom built data acquisition system our team drives a series of predetermined routes during inclement winter weather events. Mostly, high rate snowfall events and blowing snow with low visibility. Since our year 1 effort we have augmented our sensor pod with longer range and higher resolution LiDARs and 360 azimuth cameras. Guest LiDARs in this round of testing focus on improving range and longer wavelengths. We will also discuss data processing and lessons learned from the first year of the experiment.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy P. Bos, Akhil Kurup, Derek Chopp, and Zach Jeffries "The Michigan Tech autonomous winter driving data set: year two", Proc. SPIE 11748, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2021, 1174809 (23 April 2021); https://doi.org/10.1117/12.2585864
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