Multiple Adaptive Agents for Tactical Driving

Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no system for tactical-level reasoning. Such a system should address tasks such as passing cars, making exits on time, and merging into a traffic stream. Many previous approaches have attempted to hand construct large rule-based systems which capture the interactions between multiple input sensors, dynamic and potentially conflicting sub-goals, and changing roadway conditions. However, these systems are extremely difficult to design due to the large number of rules, the manual tuning of parameters within the rules, and the complex interactions between the rules. Our approach to this intermediate-level planning is a system which consists of a collection of autonomous agents, each of which specializes in a particular aspect of tactical driving. Each agent examines a subset of the intelligent vehicle’s sensors and i...

• Type: Journal
• Year: 1998
• Where: APIN
• Authors: Rahul Sukthankar, Shumeet Baluja, John Hancock
• Keywords: APIN 1998, Different Reasoning Agents, Large Rule-based Systems, Low-level Vision-based Controllers