May 2020: As part of his recent paper for the IEEE/ION PLANSx conference, Lakshay Narula published an extensive dataset for urban positioning, called TEX-CUP: The University of Texas Challenge for Urban Positioning.

"Mass-market precise GNSS positioning is being researched now more than ever", Lakshay says. "To make progress as a research community, we need to evaluate new techniques on a shared dataset, and this dataset must be challenging and representative of typical urban driving. Self-driving car datasets available today do not provide raw IF GNSS data, or even the raw pseudorange and carrier-phase observables. With the release of TEX-CUP, we're hopeful that the precise positioning community will finally have a shared benchmark dataset. As we add data from many major cities around the world, we believe TEX-CUP will be the go-to dataset for precise GNSS evaluation."

We look forward to seeing what the community achieves with Lakshay's dataset!