60 https://www.uni-bremen.de/iat/ag-prof-dr-ing-michels/team-ag-michels/alumni/dr-ing-danijela-ristic-durrant/smart2/smart2-beschreibung SMART2 Beschreibung de Universität Bremen Sun, 09 Aug 2026 00:12:45 +0200 Sun, 09 Aug 2026 00:12:45 +0200 Universität Bremen content-328762 Thu, 18 Feb 2021 09:23:41 +0100 https://www.uni-bremen.de/iat/ag-prof-dr-ing-michels/team-ag-michels/alumni/dr-ing-danijela-ristic-durrant/smart2/smart2-beschreibung#c328762 <p>The aim is to develop image processing-based software for obstacle detection (OD) and track intrusion detection (TID). A holistic approach to autonomous obstacle detection for railways would enable increased detection area including areas behind a curve, slope, tunnels and other elements blocking the train’s view on the rail tracks, in addition to a long-range straight rail-tracks OD. The data recorded will be processed to inform a cloud-based Decision Support System (DSS) about possible obstacles and track intrusions in their fields of view. DSS will integrate information coming from three OD&TID sub-systems and will make final decision on OD&TID and will suggest possible actions for the train control as a contribution to a holistic approach for obstacle detection and track intrusion detection in railway application. The following image shows the three sub-systems:</p> <p>1. On-board system where sensors are mounted at the front of the train.</p> <p>2. Airborne system which examines the rail tracks that cannot yet be seen by the on-board system.</p> <p>3. Trackside system that continuously takes a look at track sections with an increased risk of accidents like level crossings.</p> Content