Spatio‐temporal Keyframe Control of Traffic Simulation using Coarse‐to‐Fine Optimization

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 fr...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Computer graphics forum Ročník 41; číslo 7; s. 541 - 552
Hlavní autori: Han, Yi, Wang, He, Jin, Xiaogang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.10.2022
Predmet:
Cartesian coordinates
CCS Concepts
Collision avoidance
Computing methodologies → Procedural animation
Interactive simulation
Optimization
Path planning
Simulation
Traffic control
Trajectory planning
ISSN:0167-7055, 1467-8659
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.14699