A Path Planning Algorithm Based on Fluid Simulation

You, Wei; Yin, Yixin; Qian, Xiaobin; Zhang, Xiaoxi

doi:10.1109/iscid.2017.37

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…An interesting idea for deterministic trajectory generation is the use of fluid simulation directly on an occupancy grid [22]. This approach uses fluid dynamics to draw a path from a vehicle to the edges of areas around obstacles.…”

Section: E Fluid Simulation Methodsmentioning

confidence: 99%

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Autonomous Driving Using Fluid Flow Simulation

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Szelest³

2022

IEEE Access

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This paper describes a fluid simulation application for the generation of driving trajectories in a simulated environment. The proposed method translates a segmented view from a front-facing camera into a top-down view of a road network, which is used as a river system where fluid flow is being simulated. Inspired by the natural phenomenon of water particles navigating complex riverbed obstacles, the driving trajectory is planned by tracing the simulated fluid flow. To demonstrate the feasibility of the proposed solution, the method was tested in several driving scenarios proposed in state-of-the-art papers, including navigating traffic and obstacles in city and highway environments. This solution shows that even very complex tasks can be solved using elegant nature-inspired approaches.INDEX TERMS Automotive applications, autonomous systems, vehicle driving, signal processing algorithms.

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Section: E Fluid Simulation Methodsmentioning

confidence: 99%

“…A reliable trajectory must be planned to drive a vehicle autonomously. This can be achieved by simulating fluid flow in a river system [22] that may be derived from a road layout [20]. Areas of higher and lower pressure are required to achieve fluid flow.…”

Section: Fluid Simulation For Autonomous Drivingmentioning

confidence: 99%