Automatic Rule Learning for Autonomous Driving Using Semantic Memory
arXiv:1809.07904v2
Originality Synthesis-oriented
AI Analysis
This addresses the challenge of rule learning for autonomous driving, but appears incremental as it builds on existing methods without specifying breakthroughs.
The paper tackles the problem of automatic rule learning for autonomous driving systems using real driving data, but no concrete results or numbers are provided in the abstract.
This paper presents a novel approach for automatic rule learning applicable to an autonomous driving system using real driving data.