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Chris Baker

2 accepted papers

2020

Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty

RSS 2020poster

Autonomous agents are limited in their ability to observe the world state. Partially observable Markov decision processes (POMDPs) model planning under world state uncertainty, but POMDPs with multimodal beliefs, continuous actions, and nonlinear dynamics suitable for robotics applications are chall…

Cited by 10SourcePDFScholar
2019

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

CVPR 2019poster

Accurate prediction of others' trajectories is essential for autonomous driving. Trajectory prediction is challenging because it requires reasoning about agents' past movements, social interactions among varying numbers and kinds of agents, constraints from the scene context, and the stochasticity o…

Cited by 554PDFScholar