Abstract: For automated vehicle, motion planning especially multi-vehicle cooperative motion planning (MVCMP), is an important and challenging problem, while the high-dimensional coupled nonlinear ...
Abstract: This letter presents a GPU-enabled parallel trajectory optimization framework for model predictive control (MPC) in complex urban environments. It fuses the advantages of sampling-based MPC, ...
Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1. Windows system is strongly ...
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