# Autonomous Driving: Framework for Pedestrian Intention Estimationin a Real World Scenario

arXiv: https://arxiv.org/abs/2006.02711 · HTML: https://mlsanity.com/paper/2006.02711/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Jun 2020.

## Built on by (most cited first, 2 of 2)

- [Behavioral Intention Prediction in Driving Scenes: A Survey](https://mlsanity.com/paper/2211.00385/) (2022)
- [Learning to Anticipate Future with Dynamic Context Removal](https://mlsanity.com/paper/2204.02587/) (2022)

## Abstract (arXiv)

Rapid advancements in driver-assistance technology will lead to the integration of fully autonomous vehicles on our roads that will interact with other road users. To address the problem that driverless vehicles make interaction through eye contact impossible, we describe a framework for estimating the crossing intentions of pedestrians in order to reduce the uncertainty that the lack of eye contact between road users creates. The framework was deployed in a real vehicle and tested with three experimental cases that showed a variety of communication messages to pedestrians in a shared space scenario. Results from the performed field tests showed the feasibility of the presented approach.