Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.
Laura Yu ZhengSanghyun SonJing LiangXijun WangBrian ClippMing C. LinPublished in: CoRR (2024)
Keyphrases
- probabilistic model
- motion analysis
- image sequences
- real time
- short term
- markov chain monte carlo methods
- inverse kinematics
- predictive model
- autoregressive
- graphical models
- motion estimation
- long term
- optical flow
- neural network
- generative model
- spatio temporal
- stochastic models
- stochastic context free grammars
- parallel manipulator
- forecast models