1 citations · 1 across the 6 of their papers we have counts for
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Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving
Pragyan Dahal, Simone Mentasti, Stefano Arrigoni +3
In literature, Extended Object Tracking (EOT) algorithms developed for autonomous driving predominantly provide obstacles state estimation in cartesian coordinates in the Vehicle R…
Two algorithms for vehicular obstacle detection in sparse pointcloud
Simone Mentasti, Matteo Matteucci, Stefano Arrigoni +1
One of the main components of an autonomous vehicle is the obstacle detection pipeline. Most prototypes, both from research and industry, rely on lidars for this task. Pointcloud i…
LiDAR point-cloud processing based on projection methods: a comparison
Guidong Yang, Simone Mentasti, Mattia Bersani +3
An accurate and rapid-response perception system is fundamental for autonomous vehicles to operate safely. 3D object detection methods handle point clouds given by LiDAR sensors to…
Advances in centerline estimation for autonomous lateral control
Paolo Cudrano, Simone Mentasti, Matteo Matteucci +3
The ability of autonomous vehicles to maintain an accurate trajectory within their road lane is crucial for safe operation. This requires detecting the road lines and estimating th…