Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
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 …
software in a safe and cost-effective manner. However, realistic simulation requires accurate …
Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
FusionPlanner: A multi-task motion planner for mining trucks via multi-sensor fusion
In recent years, significant achievements have been made in motion planning for intelligent
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
vehicles. However, as a typical unstructured environment, open-pit mining attracts limited …
The waymo open sim agents challenge
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 …
software development. In this work, we introduce the Waymo Open Sim Agents Challenge …
Imitation is not enough: Robustifying imitation with reinforcement learning for challenging driving scenarios
Imitation learning (IL) is a simple and powerful way to use high-quality human driving data,
which can be collected at scale, to produce human-like behavior. However, policies based …
which can be collected at scale, to produce human-like behavior. However, policies based …
Trafficgen: Learning to generate diverse and realistic traffic scenarios
Diverse and realistic traffic scenarios are crucial for evaluating the AI safety of autonomous
driving systems in simulation. This work introduces a data-driven method called TrafficGen …
driving systems in simulation. This work introduces a data-driven method called TrafficGen …
Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling
Large-scale driving datasets such as Waymo Open Dataset and nuScenes substantially
accelerate autonomous driving research, especially for perception tasks such as 3D …
accelerate autonomous driving research, especially for perception tasks such as 3D …
Data-driven Traffic Simulation: A Comprehensive Review
Autonomous vehicles (AVs) have the potential to significantly revolutionize society by
providing a secure and efficient mode of transportation. Recent years have witnessed …
providing a secure and efficient mode of transportation. Recent years have witnessed …
Choose your simulator wisely: A review on open-source simulators for autonomous driving
Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …
savings. Over the past few years, the number of simulators for autonomous driving has …
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Abstract We introduce\textit {Nocturne}, a new 2D driving simulator for investigating multi-
agent coordination under partial observability. The focus of Nocturne is to enable research …
agent coordination under partial observability. The focus of Nocturne is to enable research …