# Learning Driver Behavior Models from Traffic Observations for Decision Making and Planning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-driver-behavior-models-from-traffic-observations-for-decision-making/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tobias Gindele,Sebastian Brechtel,Rüdiger Dillmann |
| Citations | 199 |
| DOI | 10.1109/mits.2014.2357038 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2083651391 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Rüdiger Dillmann](https://scholariq.org/researchers/rudiger-dillmann/)

## Paper primary topic

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

## Paper topics

- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.