Difference between revisions of "Recognition of Human Intentions for Automated Cars"

Revision as of 11:23, 16 October 2015

Background There will be a smooth transition towards a fully automated traffic system that will continue for many years. This implies that there will be a mix of automated and manually driven vehicles in the traffic. It is therefore important to understand the interactions between automated and manually driven vehicles. By initially study the human behaviour and transfer that knowledge to the automated vehicles we can create behaviours that are interpretable both for humans and for vehicles. This is fundamental knowledge in order to reduce the risk for accidents. The human should be able to understand the behaviour of an automated vehicle at least as good as we interpret the behaviour of a manually driven vehicle.

At hand we have a 3D vision system that can capture and estimate vehicle speed, size, position and from this data motion paths are created and can be used for behaviour analysis. For this project the vision system should be mounted in the road infrastructure and measure vehicle behaviour in a road section where there are no formal rules but where the drivers apply social rules to interact with each other.

The thesis project should focus on the identification of features, or cues, that describe the intention of a driver, for example, in a narrow road section where vehicles can not meet, what is the vehicle behaviour that lead to that a driver is stopping to let another vehicle pass?

Project description

The project should include the following tasks

1. Data collection and preparation
2. Data analysis
3. Variable selection and modelling of driver (vehicle) behaviour
4. Writing report/paper