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Found 5 papers, 3 papers with code
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
Observations from different angles enable the recovery of 3D object states from 2D image inputs if we can identify the same instance in different input frames.
Driving in Real Life with Inverse Reinforcement Learning
In this paper, we introduce the first learning-based planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL).
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Accurately predicting the future motion of surrounding vehicles requires reasoning about the inherent uncertainty in driving behavior.
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Trajectory Prediction
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Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge
Predicting the future motion of vehicles has been studied using various techniques, including stochastic policies, generative models, and regression.
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
We instead frame the trajectory prediction problem as classification over a diverse set of trajectories.
