CollectiveSense

Purpose and goal:

The purpose of CollectiveSense is to improve autonomous driving (AD) sensors in both Nordic & Equitorial climates. Conditions differ, so the partners will study each environment in-situ & share experiences. RISE has a data quality metric & NUS has tools that can imitiate some weather conditions. FellowBot can create (any) weather conditions. CollectiveSense’s goal is to unify public RISE + NUS related codebases (FellowBot’s code will not be shared).

Expected results and effects:

Two expected impacts will be a i) report and ii) public Python code github repository. We have had contact and shared the application with NUS (uploaded in the start report phase for reference) and agreed upon these two goals. FellowBot will help with conditions that are not present in NUS Robo’s ‘library’. FellowBot can catch the ‘what if’ conditions and produce any road and weather conditions.

Approach and implementation:

We have arranged several phone meetings and a date agreed upon for travel to Singapore. Should this trip not take place (one partner is on sick leave, at least until August) we will move all meetings online. Code bases have been cleaned and are ready to work on jointly. RISE and FellowBot have already synced on scenarios over the summer. Work has started 2024-07-01 and will finish with a report 2024-10-20.