Some statistical challenges in automated driving systems
Abstract
Automated driving systems are rapidly developing. However, numerous open problems remain to be resolved to ensure this technology progresses before its widespread adoption. A large subset of these problems are, or can be framed as, statistical decision problems. Therefore, we present herein several important statistical challenges that emerge when designing and operating automated driving systems. In particular, we focus on those that relate to request‐to‐intervene decisions, ethical decision support, operations in heterogeneous traffic, and algorithmic robustification. For each of these problems, earlier solution approaches are reviewed and alternative solutions are provided with accompanying empirical testing. We also highlight open avenues of inquiry for which applied statistical investigation can help ensure the maturation of automated driving systems. In so doing, we showcase the relevance of statistical research and practice within the context of this revolutionary technology.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 26, 2023
- Source ID
- 10.1002/asmb.2765
Entities
People
- David Rios Insua
- Roi Naveiro
- William N. Caballero
Organizations
- AXA Research Fund
- Air Force Office of Scientific Research
- CUNEF Universidad
- Fundación BBVA
- Horizon 2020
- Ministry of Science and Technology
- National Science Foundation
- Spanish National Research Council
- United States Air Force Academy