open-traffic | pNEUMA
@open_traffic
pNEUMA is a large-scale dataset of naturalistic trajectories of 0.5 million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones
ID: 1287667265073303552
https://open-traffic.epfl.ch 27-07-2020 08:33:16
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The Top 3 teams have already been informed to present their work in the dedicated UAS4T Competition Session. The winner of the competition will be announced during the closing ceremony of the IEEE ITSC 2020
Click to the link below to download the codes and reports from all the team that took part in the #UAS4T competition that took place during the IEEE ITSC 2020! Congratulations to all and especially to the team from Virginia Tech! open-traffic.epfl.ch/index.php/2020…
Starting today, the campus will serve as a testing ground for a high-tech delivery service that uses a self-driving van Durabilité EPFL actu.epfl.ch/news/epfl-test…
Working with large real-world traffic datasets can be hard - check out TraViA, a new open-source visualization/annotation tool developed by Olger Siebinga, a PhD student TU Delft | ME (Inactive. Please follow @tudelftme) I co-supervise with David Abbink.
Can we use the open-traffic | pNEUMA dataset to extend the #MFD to the empirical emissions-MFD (e-MFD)? Of course we can! Find more information in the #openaccess article here: doi.org/10.1016/j.trd.…
