most citedHeterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

106 citations · 127 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2021★ 106 cited

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

Nicolas Hudson, Fletcher Talbot, Mark Cox +31

Heterogeneous teams of robots, leveraging a balance between autonomy and human interaction, bring powerful capabilities to the problem of exploring dangerous, unstructured subterra…

cs.RO2021★ 5 cited

Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization

Jinyun Zhou, Rui Wang, Xu Liu +5

We present a learning-based planner that aims to robustly drive a vehicle by mimicking human drivers' driving behavior. We leverage a mid-to-mid approach that allows us to manipula…

cs.RO2020★ 4 cited

A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment

Yu Wang, Shu Jiang, Weiman Lin +5

This paper presents the design of a tune-free (human-out-of-the-loop parameter tuning) control framework, aiming at accelerating large scale autonomous driving system deployed on v…

cs.RO2020★ 1 cited

DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling

Shu Jiang, Yu Wang, Longtao Lin +4

An accurate vehicle dynamic model is the key to bridge the gap between simulation and real road test in autonomous driving. In this paper, we present a Dynamic model-Residual corre…

cs.RO2020★ 7 cited

DL-IAPS and PJSO: A Path/Speed Decoupled Trajectory Optimization and its Application in Autonomous Driving

Jinyun Zhou, Runxin He, Yu Wang +5

This paper presents a free space trajectory optimization algorithm of autonomous driving vehicle, which decouples the collision-free trajectory planning problem into a Dual-Loop It…

cs.RO2020★ 4 cited

TDR-OBCA: A Reliable Planner for Autonomous Driving in Free-Space Environment

Runxin He, Jinyun Zhou, Shu Jiang +6

This paper presents an optimization-based collision avoidance trajectory generation method for autonomous driving in free-space environments, with enhanced robustness, driving comf…