Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 6 references that are in the map. First posted on arXiv 2 Aug 2023.
Builds on
3 of 6 references.
References · 3
- 2017OSQP: An Operator Splitting Solver for Quadratic Programscited by 161
- 2017On a Formal Model of Safe and Scalable Self-driving Carscited by 131
- 2018Baidu Apollo EM Motion Plannercited by 100
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- 2025ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
- 2021Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
- 2024QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
- 2025Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
- 2026DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving
- 2022Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving