Keywords. collision detection, proximity query, collision benchmark, heatmap
Abstract. We present a server-based benchmark that enables a fair analysis of different collision detection & proximity query algorithms. A simple, yet interactive web interface allows it both, expert and non-expert users, to easily evaluate the performance of different collision detection algorithms in standardized or optionally user-definable scenarios and to identify possible bottlenecks. In contrast to typically used simple charts or histograms to show the results, we additionally propose a heatmap visualization directly on the benchmarked objects that allows the identification of critical regions on a sub-object level. An anonymous login system in combination with a server-side scheduling algorithm guarantee security as well as the reproducibility and comparability of the results. This makes our benchmark useful for end users who want to choose the optimal collision detection method or optimize their objects with respect to collision detection but also for researchers who want to compare their new algorithms with existing solutions.
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