INTENTION RECOGNITION OF VRUs
In this project RISE, together with Volvo Buses, the Electricity project, Viscando and Univrses are aiming to understanding and communicating the intentions of road users such as pedestrians, cyclists, and scooter drivers around bus stops. Automatic recognition of intent is a key factor in tracking users and predicting trajectories in the near-term future. Such predictions can be used both in ADAS systems for human drivers, where these can alarm or initiate collision avoidance measures, and as an integral part in the control architecture of automated vehicles. For example, a bus driver could get help to recognize if a road user would like to cross in front of the bus, or if a pedestrian would like to get on the bus.
The goal of pre-study is to conduct real-world data collection using ElectriCity Buses in Gothenburg and testing applicability of existing models for this data. The researchers are looking into developing edge solutions compliant with GDPR and implementing intention recognition algorithms in a real world setting. The pre-study is a stepping stone toward a larger project and helps to assert feasibility before starting other activities e.g. within the FFI-programme.