A trajectory prediction method combining deep learning and ensemble learning is proposed for the lane-changing vehicles, the influence of lane-chang intention on trajectory prediction is considered at the same time. Firstly, establish continuous hidden Markov model (CHMM...
In Intelligent Vehicles Symposium (IV), 2017 IEEE, pp.1665-1670. IEEE, 2017. [21] B. Kim, C. M. Kang, S. H. Lee, H.Chae, J. Kim, C. C. Chung, and J. W. Choi. Probabilistic VehicleTrajectory Prediction over Occupancy Grid Map via Recurrent NeuralNetwork. arXiv preprint arXiv:...
In view of the large storage space, you can put it into the cloud disk and download it through the above link. Citation of papers Huazhen. Fang, Li. Liu, Xiaofeng. Xiao, Qing. Gu, and Yu. Meng, “Vehicle trajectory prediction based on mixed teaching force long short-term memory,”...
Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions The multi-modal prediction uncertainties, containing both the maneuver and trajectory uncertainties of surrounding vehicles, are considered in computing the ... J Zhou,B Olofsson,E Frisk - 《IEEE Tr...
LSTM based trajectory prediction model for cyclist utilizing multiple interactions with environment Pattern Recognition Volume 112,April 2021, Page 107800 Purchase options CorporateFor R&D professionals working in corporate organizations. Academic and personalFor academic or personal use only. ...
Prediction on trajectories of pedestrians becomes more essential than ever in the era of the development of autonomous vehicles. This project compares performances of different methods on predicting x-y coordinates based on sequential time steps. Methodology: Inputs: x-y coordinates of sequential steps...
This problem of trajectory prediction can be viewed as a sequence generation task, where we are interested in predicting the future trajectory of people based on their past positions. Following the recent success of Recurrent Neural Network (RNN) models for sequence prediction tasks, we propose an...
原论文:A novel MP-LSTM method for ship trajectory prediction based on AIS data - ScienceDirect 论文介绍:GoogleScholar引用107 Ocean Engineering 工程技术大类2区(中科院) 总结: 对比实验很详细,但是…
lstm-modelattention-mechanismseq2seq-modelvesseltrajectory-predictiontensorflow2 UpdatedApr 20, 2021 Python The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python) ...
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