activity
20192023
most citedALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

15 citations · 50 across the 11 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.RO2022★ 2 cited

MUI-TARE: Multi-Agent Cooperative Exploration with Unknown Initial Position

Jingtian Yan, Xingqiao Lin, Zhongqiang Ren +6

Multi-agent exploration of a bounded 3D environment with unknown initial positions of agents is a challenging problem. It requires quickly exploring the environments as well as rob…

cs.CV2022★ 1 cited

iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images

Peng Yin, Ivan Cisneros, Ji Zhang +2

The visual camera is an attractive device in beyond visual line of sight (B-VLOS) drone operation, since they are low in size, weight, power, and cost, and can provide redundant mo…

cs.RO2022

RCA: Ride Comfort-Aware Visual Navigation via Self-Supervised Learning

Xinjie Yao, Ji Zhang, Jean Oh

Under shared autonomy, wheelchair users expect vehicles to provide safe and comfortable rides while following users high-level navigation plans. To find such a path, vehicles negot…

cs.CV2022★ 15 cited

ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

Ivan Cisneros, Peng Yin, Ji Zhang +2

We present the ALTO dataset, a vision-focused dataset for the development and benchmarking of Visual Place Recognition and Localization methods for Unmanned Aerial Vehicles. The da…

cs.RO2022★ 2 cited

AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

Peng Yin, Haowen Lai, Shiqi Zhao +4

We present AutoMerge, a LiDAR data processing framework for assembling a large number of map segments into a complete map. Traditional large-scale map merging methods are fragile t…

cs.RO2022★ 8 cited

ALITA: A Large-scale Incremental Dataset for Long-term Autonomy

Peng Yin, Shiqi Zhao, Ruohai Ge +5

For long-term autonomy, most place recognition methods are mainly evaluated on simplified scenarios or simulated datasets, which cannot provide solid evidence to evaluate the readi…