On the Suitability of Small-Sized Vehicles for Autonomous-Driving Research

Autonomous driving has gotten significant attention of the research community over the last two decades. Autonomous driving algorithms being developed by the community are usually tested in a number of way, including off-line datasets, simulations, and real-live test vehicles. Small-sized vehicles also have a potential to be used as platforms for autonomous-driving research, but they need to be systematically analysed for their suitability for different aspects in autonomous-driving research. This, however, has not been very well investigated in the community. In this paper, we present our first work in asking ourselves the question if small-sized vehicles are suitable for autonomous driving research.

Authors

Institutions

Publication Details

Published
2025-02-03
DOI
https://doi.org/10.1109/ai2e64943.2025.10982988
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Suitability of Small-Sized Vehicles for Autonomous-Driving Research

Naveed Muhammad, Uroš Petrović
Transportation and Mobility Innovations
article

On the Suitability of Small-Sized Vehicles for Autonomous-Driving Research

Naveed Muhammad, Uroš Petrović
article en

Abstract

Autonomous driving has gotten significant attention of the research community over the last two decades. Autonomous driving algorithms being developed by the community are usually tested in a number of way, including off-line datasets, simulations, and real-live test vehicles. Small-sized vehicles also have a potential to be used as platforms for autonomous-driving research, but they need to be systematically analysed for their suitability for different aspects in autonomous-driving research. This, however, has not been very well investigated in the community. In this paper, we present our first work in asking ourselves the question if small-sized vehicles are suitable for autonomous driving research.

University of Tartu (EE)
Openalex Percentile: Top 90%
Transportation and Mobility Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.