Han, Yi;
Wang, He;
Jin, Xiaogang;
(2023)
Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization.
Computer Graphics Forum
, 41
(7)
pp. 541-552.
10.1111/cgf.14699.
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Abstract
We present a novel traffic trajectory editing method which uses spatio-temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By taking self-motivation, path following and collision avoidance into account, the proposed force-based traffic simulation framework updates vehicle's motions in both the Frenet coordinates and the Cartesian coordinates. With the way-points from users, lane-level navigation can be generated by reference path planning. With a given keyframe, the coarse-to-fine optimization is proposed to efficiently generate the plausible trajectory which can satisfy the spatio-temporal constraints. At first, a directed state-time graph constructed along the reference path is used to search for a coarse-grained trajectory by mapping the keyframe as the goal. Then, using the information extracted from the coarse trajectory as initialization, adjoint-based optimization is applied to generate a finer trajectory with smooth motions based on our force-based simulation. We validate our method with extensive experiments.
| Type: | Article |
|---|---|
| Title: | Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization |
| Location: | Kyoto, JAPAN |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/cgf.14699 |
| Publisher version: | https://doi.org/10.1111/cgf.14699 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | CCS Concepts; Computing methodologies → Procedural animation; Interactive simulation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215221 |
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