The first paper, titled "Autonomous emergency braking for cornering motorcycle", presented an advanced MAEB that can safely deploy a full braking even when the motorcycle is negotiating a bend. This system, named MAEB+, combined standard MAEB and ABC (active braking control), a module designed to adjust the braking distribution between front and rear wheel in order to produce a stabilisation of the vehicle along its trajectory. The paper also presented detailed computer simulations of three real world crashes from the InSafe dataset. Each case simulated in the actual configuration (without MAEB), with standard MAEB, and with MAEB+. The results showed that MAEB+ was able to slow down the motorcycle with higher deceleration compared to simple MAEB, without producing falling events in the pre-collision phase. These results indicated that a stability module associated to MAEB can make the system more robust even when the rider attempts lateral manoeuvres before the collision.
|One of the crash cases simulated for ESV2015|
The second paper, titled "Triggering Algorithm based on Inevitable Collision States for Autonomous Emergency Braking (AEB) in Motorcycle-to-Car Crashes," presented a collaborative AEB system based on the interaction between a motorcycle and an opponent passenger car. This system used an inverted approach compared to standard MAEB: the safety system mounted on the motorcycle detects a possible conflict with an approaching passenger car and when the collision becomes imminent yet still avoidable, it deploys the full braking intervention of the AEB mounted on the opponent vehicle via V2V. Computer simulations of 90 real world crash cases revealed that in more than half the considered cases collaborative AEB may have prevented the collision. Despite some limitations in the study, these promising results warrant further investigations.