mlsanityData to 7 Oct 2026

Autonomous Driving Small-Scale Cars: A Survey of Recent Development

arXiv 2404.06229 ↗First posted 9 Apr 2024cs.RO cs.AIcited by 6

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Abstract (arXiv)

While engaging with the unfolding revolution in autonomous driving, a challenge presents itself, how can we effectively raise awareness within society about this transformative trend? While full-scale autonomous driving vehicles often come with a hefty price tag, the emergence of small-scale car platforms offers a compelling alternative. These platforms not only serve as valuable educational tools for the broader public and young generations but also function as robust research platforms, contributing significantly to the ongoing advancements in autonomous driving technology. This survey outlines various small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage. The conclusion provides proposals for promising future directions in the field.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 90 of its 276 references that are in the map. First posted on arXiv 9 Apr 2024.

Builds on

90 of 276 references.

References · 90

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38 more
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50 most cited of 90 All 90 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.

  1. 2025Simulator Ensembles for Trustworthy Autonomous Driving Systems Testingcited by 1
  2. 2025Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Drivingcited by 1
  3. 2025A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systemscited by 1
  4. 2026The Cost of Relaxation: Evaluating the Error in Convex Neural Network Verificationcited by 0
  5. 2026MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learningcited by 0
  6. 2026Interval Certifications for Multilayered Perceptrons via Lattice Traversalcited by 0