LGAIROAug 12, 2021

Reimagining an autonomous vehicle

arXiv:2108.05805v115 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for updated approaches in autonomous driving, which could lead to social change, but it is incremental as it builds on existing industry foundations.

The paper argues that autonomous vehicle technology needs a fundamental rethink based on recent knowledge, proposing an alternative vision for driving with machine learning and new research challenges.

The self driving challenge in 2021 is this century's technological equivalent of the space race, and is now entering the second major decade of development. Solving the technology will create social change which parallels the invention of the automobile itself. Today's autonomous driving technology is laudable, though rooted in decisions made a decade ago. We argue that a rethink is required, reconsidering the autonomous vehicle (AV) problem in the light of the body of knowledge that has been gained since the DARPA challenges which seeded the industry. What does AV2.0 look like? We present an alternative vision: a recipe for driving with machine learning, and grand challenges for research in driving.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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