Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making

TL;DR

This paper explores integrating rule-based decision making with motion planning to enable self-driving cars to exhibit human-like behavior in complex traffic, emphasizing the importance of spatial awareness.

Contribution

It introduces a framework combining rule-based decisions with motion planning, highlighting the need for advanced spatial reasoning in autonomous vehicles.

Findings

Rule-based decision making can enhance human-like driving behavior.

Examples demonstrate how decision rules influence vehicle actions.

The paper advocates for increased focus on spatial awareness in autonomous driving.

Abstract

In this paper we show how rule-based decision making can be combined with traditional motion planning techniques to achieve human-like behavior of a self-driving vehicle in complex traffic situations. We give and discuss examples of decision rules in autonomous driving. We draw on these examples to illustrate that developing techniques for spatial awareness of robots is an exciting activity which deserves more attention from spatial reasoning community that it had received so far.