activity
20212024
most citedWaymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

22 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

MoST: Multi-modality Scene Tokenization for Motion Prediction

Norman Mu, Jingwei Ji, Zhenpei Yang +11

Many existing motion prediction approaches rely on symbolic perception outputs to generate agent trajectories, such as bounding boxes, road graph information and traffic lights. Th…

cs.RO2023★ 22 cited

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research

Cole Gulino, Justin Fu, Wenjie Luo +19

Simulation is an essential tool to develop and benchmark autonomous vehicle planning software in a safe and cost-effective manner. However, realistic simulation requires accurate m…

cs.CV2023★ 9 cited

The Waymo Open Sim Agents Challenge

Nico Montali, John Lambert, Paul Mougin +9

Simulation with realistic, interactive agents represents a key task for autonomous vehicle software development. In this work, we introduce the Waymo Open Sim Agents Challenge (WOS…

cs.CV2023

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

Kan Chen, Runzhou Ge, Hang Qiu +12

Widely adopted motion forecasting datasets substitute the observed sensory inputs with higher-level abstractions such as 3D boxes and polylines. These sparse shapes are inferred th…

cs.CV2021

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

Scott Ettinger, Shuyang Cheng, Benjamin Caine +15

As autonomous driving systems mature, motion forecasting has received increasing attention as a critical requirement for planning. Of particular importance are interactive situatio…