In this paper, a state space sampling-based local trajectory generation framework for autonomous vehicles driving along a reference path is proposed.
A state space sampling-based local trajectory generation framework for autonomous vehicles driving along a reference path is proposed and its capability to�...
This paper has presented a state space sampling-based local trajectory planning approach for autonomous vehicles driving along a reference path. A SVM-based�...
A generic framework for sampling-based partial motion planning along a reference path that builds on the specification of a vehicle model and a control law,�...
This paper proposes an efficient method for the reference trajectory generation at a global level in unstructured driving environments. First, sampling-based�...
In this paper a generic framework for sampling-based partial motion planning along a reference path is presented. The sampling mechanism builds on the�...
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Our planning approach uses a reference trajectory as input to specify a desired path and velocity which the ego vehicle should follow. Our algorithm then plans�...
Apr 23, 2023 � Path planning is a classic problem for autonomous robots. To ensure safe and efficient point-to-point navigation an appropriate algorithm�...
Sampling-based motion planning (SBMP) is a major tra- jectory planning approach in autonomous driving given its high efficiency in practice. As the core of SBMP�...
This paper presents a unified approach to local trajectory planning and control for the autonomous ground vehicle driving along a rough predefined path.