activity
20222025
most citedGeneral Place Recognition Survey: Towards the Real-world Autonomy Age

17 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

Parv Kapoor, Ian Higgins, Nikhil Keetha +9

Assured safe-separation is essential for achieving seamless high-density operation of airborne vehicles in a shared airspace. To equip resource-constrained aerial systems with this…

cs.RO2023★ 3 cited

FoundLoc: Vision-based Onboard Aerial Localization in the Wild

Yao He, Ivan Cisneros, Nikhil Keetha +6

Robust and accurate localization for Unmanned Aerial Vehicles (UAVs) is an essential capability to achieve autonomous, long-range flights. Current methods either rely heavily on GN…

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★ 17 cited

General Place Recognition Survey: Towards the Real-world Autonomy Age

Peng Yin, Shiqi Zhao, Ivan Cisneros +6

Place recognition is the fundamental module that can assist Simultaneous Localization and Mapping (SLAM) in loop-closure detection and re-localization for long-term navigation. The…

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★ 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…