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Found 5 papers, 1 papers with code
The Waymo Open Sim Agents Challenge
Simulation with realistic, interactive agents represents a key task for autonomous vehicle software development.
Imitative Planning using Conditional Normalizing Flow
A popular way to plan trajectories in dynamic urban scenarios for Autonomous Vehicles is to rely on explicitly specified and hand crafted cost functions, coupled with random sampling in the trajectory space to find the minimum cost trajectory.
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
In order to plan a safe maneuver an autonomous vehicle must accurately perceive its environment, and understand the interactions among traffic participants.
The Importance of Prior Knowledge in Precise Multimodal Prediction
Towards this goal, we design a framework that leverages REINFORCE to incorporate non-differentiable priors over sample trajectories from a probabilistic model, thus optimizing the whole distribution.
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
A graph neural network then iteratively updates the actor states via a message passing process.
