Using Ontology-based Traffic Models for more efficient Decision Making of Autonomous Vehicles

被引：43

作者：

Regele, Ralf ^{[1
]}

机构：

[1] Univ Stuttgart, Inst Parallel & Distributed Syst IPVS, D-7000 Stuttgart, Germany

来源：

FOURTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2008) | 2008年

关键词：

Autonomous driving; decision making; traffic coordination; traffic models;

D O I：

10.1109/ICAS.2008.10

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper describes how a high-level abstract world model can be used to support the decision-making process of an autonomous driving system. The approach uses a hierarchical world model and distinguishes between a low-level model for the trajectory planning and a high-level model for solving the traffic coordination problem. The abstract world model used in the CyberCars-2 project is presented. It is based on a topological lane segmentation and introduces relations to represent the semantic context of the traffic scenario. This makes it much easier to realize a consistent and complete driving control system, and to analyze, evaluate and simulate such a system.

引用

页码：94 / 99

页数：6