2019
DOI: 10.4271/12-02-04-0021
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Pedestrian Collision Avoidance System for Autonomous Vehicles

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Cited by 11 publications
(5 citation statements)
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“…Generally, there are two ways to calculate TTX online: using empirical estimates or by forward simulation. Schratter et al [7] use an empirical formula based on the current ego state and surrounding states to estimate TTB and TTS, and, finally, estimate the collision risk for decision-making of an emergency maneuver. Their proposed collision avoidance system can handle the pedestrian-crossing scenario in an occluded area.…”
Section: Related Work a Computation Of Time-to-xmentioning
confidence: 99%
“…Generally, there are two ways to calculate TTX online: using empirical estimates or by forward simulation. Schratter et al [7] use an empirical formula based on the current ego state and surrounding states to estimate TTB and TTS, and, finally, estimate the collision risk for decision-making of an emergency maneuver. Their proposed collision avoidance system can handle the pedestrian-crossing scenario in an occluded area.…”
Section: Related Work a Computation Of Time-to-xmentioning
confidence: 99%
“…The influence of uncertainty in form of measurement noise (see (2)) is evaluated with a fixed noise level α AV = 0.05 over an interval of α ped ∈ {0.0, 0.1, 0.2, 0.3, 0.4, 0.5}. This approach focuses on the AV's response under uncertain pedestrian behavior as the pedestrian's estimations of its environment are unreliable, i.e., the pedestrian is likely to make a wrong crossing decision.…”
Section: A Performance Evaluationmentioning
confidence: 99%
“…Modern cars are equipped with pedestrian crash avoidance mitigation (PCAM) systems to avoid such pedestrian-related collisions, making them a crucial component of future autonomous vehicles (AVs). In [2], a modern PCAM system is developed on basis of reachability analysis in conjunction to a situation-aware trajectory planner. The necessary use of a reliable dynamic model for the movement of the pedestrian poses real-world challenges and neglects the sequential decision making process of the situation.…”
Section: Introductionmentioning
confidence: 99%
“…From the result it is observed that 15.04% length of the highway requires remedial measures through road safety programs. Markus Schratter et al [21] proposed a system with a combination of pedestrian collision avoidance system and a situation awareness planner to control critical situations with pedestrians at occluded areas. Collision avoidance system is combined with a situation awareness planner considering the sensors visibility and capability of the avoidance system to provide a set of collision free trajectories to optimise the driving velocity.…”
Section: Introductionmentioning
confidence: 99%