activity
20232026
most citedRACECAR -- The Dataset for High-Speed Autonomous Racing

15 citations · 15 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR

Marcello Cellina, Akos Kriston, Antonio Migneco +7

Testing of commercial Advanced Driver Assistance Systems is essential to ensure safety and compliance during type approval and in service operation. However, proving ground scenari…

cs.RO2025

Target Tracking via LiDAR-RADAR Sensor Fusion for Autonomous Racing

Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi

High Speed multi-vehicle Autonomous Racing will increase the safety and performance of road-going Autonomous Vehicles. Precise vehicle detection and dynamics estimation from a movi…

cs.RO2025

LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing

Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi

Autonomous racing provides a controlled environment for testing the software and hardware of autonomous vehicles operating at their performance limits. Competitive interactions bet…

cs.RO2023

Vehicle Fuel Consumption Virtual Sensing from GNSS and IMU Measurements

Marcello Cellina, Silvia Strada, Sergio Matteo Savaresi

This paper presents a vehicle-independent, non-intrusive, and light monitoring system for accurately measuring fuel consumption in road vehicles from longitudinal speed and acceler…

cs.RO2023★ 15 cited

RACECAR -- The Dataset for High-Speed Autonomous Racing

Amar Kulkarni, John Chrosniak, Emory Ducote +6

This paper describes the first open dataset for full-scale and high-speed autonomous racing. Multi-modal sensor data has been collected from fully autonomous Indy race cars operati…