Waymax: An Accelerated, Data-Driven Simulator forLarge-Scale ...
Waymax: An Accelerated, Data-Driven Simulator forLarge-Scale Autonomous Driving Research Cole Gulino Justin Fu Wenjie Luo George Tucker Eli Bronstein Yiren Lu Jean Harb Xinlei Pan Yan Wang …
CramNet: Camera-Radar Fusion with Ray-Constrained Cross ...
Robust 3D object detection is critical for safe autonomous driving. Camera and radar sensors are synergistic as they capture complementary information and work well under different environmental …
EMMA: End-to-End Multimodal Model for Autonomous Driving
We introduce EMMA, an End-to-end Multimodal Model for Autonomous driving. Built on a multi-modal large language model foundation, EMMA directly maps raw camera sensor data into various driving …
Streaming Object Detection for 3-D Point Clouds - Waymo
Autonomous vehicles operate in a dynamic environment, where the speed with which a vehicle can perceive and react impacts the safety and efficacy of the system. LiDAR provides a prominent …
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose ... - Waymo
Autonomous driving is an exciting new industry, posing important research questions. Within the perception module, 3D human pose estimation is an emerging technology, which can enable the …
Wayformer: Motion Forecasting via Simple & Efficient ...
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp
Waymo's safety methodologies and safety readiness determinations
Waymo's safety methodologies, which draw on well established engineering processes and address new safety challenges specific to Automated Vehicle technology, provide a firm foundation for safe …