Fast, Robust, Accurate, Multi-Body Motion Aware SLAM

L Yang, Y Zhang, R Tian, S Liang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Simultaneous ego localization and surrounding object motion awareness are significant
issues for the navigation capability of unmanned systems and virtual-real interaction …

Highly robust vehicle lateral localization using multilevel robust network

Z Zheng, X Li, J Zhu, J Yuan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vision-based vehicle lateral localization has been extensively studied in the literature.
However, it faces great challenges when dealing with occlusion situations where the road is …

[HTML][HTML] 利用解耦光流运动场模型的双目视觉里程计位姿优化方法

乌萌, 郝金明, 付浩, 高扬, 张辉 - 2019 - html.rhhz.net
针对地面移动测量系统(MMS) 和无人驾驶车(AV) 平台双目立体相机采集的图像序列进行实时
载体位姿估计优化问题, 提出利用光流运动场模型的载体位姿与图像光流矢量间关系 …

Urban Safety as a Service During Bike Navigation: My Smartphone Can Monitor My Street-Lights

MY Alam, H Anurag, MS Imam, S Saha… - … on Smart Computing …, 2020 - ieeexplore.ieee.org
Existing street light monitoring systems use vehicle-borne sensor platforms, LiDAR etc.
which are obtrusive for in-the-wild deployments. In this paper, we propose BikeL; a crowd …

Mobile Robot Localization: a Modular, Odometry-Improving Approach

L Mozzarelli, L Cattaneo, M Corno… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite the number of works published in recent years, vehicle localization remains an
open, challenging problem. While map-based localization and SLAM algorithms are getting …

Measuring urban sidewalk practicability: A sidewalk robot feasibility index

M Corno, S Savaresi - IFAC-PapersOnLine, 2020 - Elsevier
Autonomous parcel delivery is attracting a lot of interest. Terrestrial delivery drones travel at
lower speeds, are smaller and lighter than passenger cars. These features make them an …

Data-Driven, Ground Truth-Free Tuning of an Adaptive Monte Carlo Localization Method for Urban Scenarios

J Giovagnola, D Rigamonti, M Corno… - 2021 European …, 2021 - ieeexplore.ieee.org
In this paper, we propose a tuning method for Adaptive Monte Carlo Localization (AMCL).
The proposed method tunes the most important AMCL parameters without the need of a …