activity
20232026
most citedLLM4Drive: A Survey of Large Language Models for Autonomous Driving

19 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing

Zhenjie Yang, Xingyu Jiao, Guopeng Zhong +18

Robotic manipulation with dexterous hands is a cornerstone of Embodied AI, yet its progress is stifled by the high cost of collecting embodiment-aware teleoperation data. While abu…

cs.RO2024★ 1 cited

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

Qingwen Bu, Jia Zeng, Li Chen +7

Despite significant progress in robotics and embodied AI in recent years, deploying robots for long-horizon tasks remains a great challenge. Majority of prior arts adhere to an ope…

cs.CV2023★ 10 cited

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

Tianyu Li, Peijin Jia, Bangjun Wang +4

A map, as crucial information for downstream applications of an autonomous driving system, is usually represented in lanelines or centerlines. However, existing literature on map l…

cs.CV2023★ 5 cited

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future

Hongyang Li, Yang Li, Huijie Wang +16

With the continuous maturation and application of autonomous driving technology, a systematic examination of open-source autonomous driving datasets becomes instrumental in fosteri…

cs.AI2023★ 19 cited

LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Zhenjie Yang, Xiaosong Jia, Hongyang Li +1

Autonomous driving technology, a catalyst for revolutionizing transportation and urban mobility, has the tend to transition from rule-based systems to data-driven strategies. Tradi…

cs.CV2023★ 18 cited

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Huijie Wang, Tianyu Li, Yang Li +13

Accurately depicting the complex traffic scene is a vital component for autonomous vehicles to execute correct judgments. However, existing benchmarks tend to oversimplify the scen…