Visualized in Foxglove: Autonomous Vehicle F1Tenth VAUL Team Dataset 

Student Spotlight: The Véhicule Autonome Université Laval (VAUL) team, champions at the 15th Grand Prix in Yokohama, Japan during ICRA 2024.
The F1TENTH is an open-source platform for autonomous systems research and education. Students and researchers around the world use it to learn and experiment with perception, planning, and control by building an RC car 1/10th the size of an F1 car.
Weighing around 4kg, their cars are capable of driving autonomously up to speeds of 12 m/s and enduring lateral accelerations of 5 m/s^2 while cornering. The car is equipped with a lidar, an IMU, and an on-board Jetson Orin NX that does all the calculations -external computing is not allowed in competition.
To get real-time data from their car, they use the Foxglove bridge to stream data over a local websocket connection. The bridge handles local networking details so anyone on the team can use Foxglove to visualize data from and assess the performance of the car.
A special thanks to William Fecteau, Tommy Bouchard Lebrun, Effie Daum, Jean-Michel Fortin, and Nicolas Lauzon from the VAUL team for helping put this article together.
Link to the spotlight article, which includes a very cool sample dataset visualization using Foxglove: foxglove.dev/blog/spotlight-b...