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 …
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 …
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 …
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 …
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 …
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 …
Motion Inspired Unsupervised Perception and Prediction in ...
Learning-based perception and prediction modules in modern autonomous driving systems typically rely on expensive human annotation and are designed to perceive only a handful of predefined object …