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Efficient and High-Fidelity Mobility Prediction for Unmanned Ground Vehicles Based on Gaussian Sampled Terrain and Enhanced Neural Network.
Chen Hua
Runxin Niu
Chunmao Jiang
Biao Yu
Hui Zhu
Bichun Li
Published in:
IEEE Robotics Autom. Lett. (2023)
Keyphrases
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high fidelity
ground vehicles
neural network
path planning
prediction model
high quality
multiresolution
collision avoidance
real time
back propagation
prediction error
artificial neural networks
high resolution
multi modal
dynamic environments