We presented in this paper a method to measure the velocity and deduct the acceleration of pedestrians in different movement states. The results of the test persons were analyzed and for every transition an average 'mean uniform acceleration' curve MUAav was determined These curves represent the uniformly achievable acceleration by the average test person, in the specified movement transition. The MUAav were used in the Pedestrian Motion Model (PMM) and in the situation analysis to estimate the risk of an impending collision. Here the CU criterion could be determined earlier than with the standard assumption for possible accelerations. The timely benefit depends on the position and velocity of the pedestrian but could lead to a reduction in the collision velocity of about 5kph or more when an autonomous braking function is triggered at TTCcu- A greater timely benefit was determined for the CUped criterion, where the collision can not be avoided by the pedestrian alone anymore. Here it was possible to gain more than half a second compared to standard assumptions. We explained the other major use of the PMM for a driver warning in situations where the pedestrian is not able to avoid the collision on his own within his comfortable acceleration limits. These limits were determined for the test persons and used to calculate the presented exemplary warning zone. A sensitivity analysis concluded this work where we determined the requirements for the environment sensing unit used with the new situation analysis approach. Future work will include a greater variety of test scenes as well as possibilities to further decrease the requirements.
Situation analysis for vulnerable road user protection using a pedestrian motion model
2010
12 Seiten, 11 Bilder, 8 Quellen
Conference paper
English
Situation analysis for vulnerable road user protection using a pedestrian motion model
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