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Research suggests that a Motorcycle Autonomous Emergency Braking system(MAEB) could influence 25% of the crashes involving powered two wheelers(PTWs). By automatically slowing down a host PTW of up to 10 km/h in inevitablecollision scenarios, MAEB could potentially mitigate the crash severity for theriders. The feasibility of automatic decelerations of motorcycles was shown viafield trials in controlled environment. However, the feasibility of correctMAEB triggering in the real traffic context is still unclear. In particular,MAEB requires an accurate obstacle detection, the feasibility of which from asingle track vehicle has not been confirmed yet. To address this issue, ourstudy presents obstacle detection tests in a real-world MAEB-sensitive crashscenario.

Obstacle detection test in real-word traffic contexts for the purposes of motorcycle autonomous emergency braking (MAEB)