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20212024
most citedFusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

11 citations · 22 across the 11 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 11 cited

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

Tengju Ye, Wei Jing, Chunyong Hu +11

Building a multi-modality multi-task neural network toward accurate and robust performance is a de-facto standard in perception task of autonomous driving. However, leveraging such…

cs.CV2023★ 1 cited

OG: Equip vision occupancy with instance segmentation and visual grounding

Zichao Dong, Hang Ji, Weikun Zhang +2

Occupancy prediction tasks focus on the inference of both geometry and semantic labels for each voxel, which is an important perception mission. However, it is still a semantic seg…

cs.RO2023★ 1 cited

CCIL: Context-conditioned imitation learning for urban driving

Ke Guo, Wei Jing, Junbo Chen +1

Imitation learning holds great promise for addressing the complex task of autonomous urban driving, as experienced human drivers can navigate highly challenging scenarios with ease…

cs.RO2023

Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow

Dongkun Zhang, Jintao Xue, Yuxiang Cui +6

Acquiring driving policies that can transfer to unseen environments is challenging when driving in dense traffic flows. The design of traffic flow is essential and previous studies…

cs.RO2023

FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing

Yuan Zhou, Gengjie Lin, Yun Tang +6

It has become a consensus that autonomous vehicles (AVs) will first be widely deployed on highways. However, the complexity of highway interchanges becomes the bottleneck for deplo…