Path stitching: Controllable racing path generation

Tan, Charlie Irawan; Tai, Wen‐Kai

doi:10.1109/icmlc.2009.5212595

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…A data‐driven race path synthesis method proposed by Tan and Tai divides sample race paths into smaller clips and rearranges their sequence to form a new race path. Although their work is capable of satisfying user‐specified constraints, their computation time is high because of the lack of a supporting data structure.…”

Section: Related Workmentioning

confidence: 99%

“…We extend the definition of racetrack and race path in the work of Tan and Tai , summarized in Table and Figure . In this paper, we treat formations in SRPD as points in formation space and use them as a local approximation of regions that contain formations of an exciting race path in the formation space.…”

Section: Formation Fieldmentioning

confidence: 99%

“…After interpolation, we translate and rotate the sequence of synthesized deployments to a user‐defined racetrack using the method set out by Tan and Tai .…”

Section: Race Path Synthesismentioning

confidence: 99%

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Characteristics preserving racer animation: a data‐driven race path synthesis in formation space

Tan

Tai

2012

Computer Animation & Virtual

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We propose a race path synthesis framework based on a data-driven approach that provides good controllability for synthesizing race paths with characteristics preserved for racer animations. We introduce formation field, a data structure that samples regions in formation space that contains formations of exciting and realistic race paths, generated using a set of collected race paths in a path database. By traversing the regions according to a given constraint, we generate a path in formation space that defines how to synthesize the desired race path by interpolation. Because the new race path is synthesized from existing paths with quality guaranteed, it also provides the same level of quality. As the experimental and user study results show, our framework produces good results effectively and is suitable for both real-time applications such as horse racing games and race-path-generating tools.

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Section: Related Workmentioning

confidence: 99%

Section: Formation Fieldmentioning

confidence: 99%

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Characteristics preserving racer animation: a data‐driven race path synthesis in formation space

Tan

Tai

2012

Computer Animation & Virtual

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A Data-Driven Path Synthesis Framework for Racing Games

Tan

Hsu

Tai

et al. 2013

2013 Seventh International Conference on Image and Graphics

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We propose a data-driven race path synthesis framework with controllability for synthesizing realistic race paths. We represent a set of collected race paths in a path database using a formation graph in the preprocessing stage. By traversing the graph according to a given constraint, we generate a list of race path clips and combine and refine them sequentially to synthesize new race paths. Since the synthesized path is generated from existing paths with quality guaranteed, the synthesized path also provides the same level of quality. As the experimental results and user study results show, our framework produces good results effectively and is suitable for realtime applications such as horse racing games.

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Path stitching: Controllable racing path generation

Cited by 2 publications

References 6 publications

Characteristics preserving racer animation: a data‐driven race path synthesis in formation space

Characteristics preserving racer animation: a data‐driven race path synthesis in formation space

A Data-Driven Path Synthesis Framework for Racing Games

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