Results 71 to 80 of about 14,971 (201)

Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization [PDF]

, 2019
Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous vehicle navigation system. In this work, we show that both standard SIR sampling and rejection-based optimal sampling are suitable for efficient (10 to 20 ms) real ...
Blanco Claraco, José Luis, Giménez Fernández, Antonio, Mañas Alvarez, Francisco, Rodríguez Díaz, Francisco, Torres Moreno, José Luis   +4 more
core   +3 more sources

LocNet: Global localization in 3D point clouds for mobile vehicles

, 2018
Global localization in 3D point clouds is a challenging problem of estimating the pose of vehicles without any prior knowledge. In this paper, a solution to this problem is presented by achieving place recognition and metric pose estimation in the global
Ding, Xiaqing, Tang, Li, Wang, Yue, Xiong, Rong, Yin, Huan   +4 more
core   +1 more source

From “Mirror Flower, Water Moon” to Multi‐Task Visual Prospective Representation Learning for Unmanned Aerial Vehicles Indoor Mapless Navigation

Journal of Field Robotics, Volume 43, Issue 2, Page 655-680, March 2026.
ABSTRACT Vision‐based deep learning models have been widely adopted in autonomous agents, such as unmanned aerial vehicles (UAVs), particularly in reactive control policies that serve as a key component of navigation systems. These policies enable agents to respond instantaneously to dynamic environments without relying on pre‐existing maps.
Yingxiu Chang, Yongqiang Cheng, John Murray, Muhammad Khalid, Umar Manzoor   +4 more
wiley   +1 more source

Long‐Range Time‐Correlated Single‐Photon Counting Lidar 3D‐Reconstruction From a Moving Ground Vehicle

Journal of Field Robotics, Volume 43, Issue 2, Page 1178-1192, March 2026.
ABSTRACT Time‐correlated single‐photon counting (TCSPC) lidar enables high‐resolution 3D imaging at kilometer range. While previous works have covered long range TCSPC 3D imaging from either stationary or airborne platforms, this is, to the best of our knowledge, the first attempt that use a moving ground vehicle. Fusing measurements taken at different
Hannes Ovrén, Max Holmberg, Markus Henriksson   +2 more
wiley   +1 more source

SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths

IEEE Access
Simultaneous Localization and Mapping (SLAM) algorithms based on visual and light detection and ranging (LiDAR) technologies have shown remarkable capabilities in robot navigation, particularly for mapping and navigating unfamiliar environments. However,
Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi   +7 more
doaj   +1 more source

Distributed SE(d) Formation Control of Multi‐Agent Systems Using Relative Measurements

International Journal of Robust and Nonlinear Control, Volume 36, Issue 1, Page 100-116, 10 January 2026.
ABSTRACT This study develops a solution to the distributed SE(d) formation control problem of multi‐agent systems using only relative measurements between agents. In this problem, poses, that is, orientations and positions, of the agents are expected to achieve desired ones.
Chunlai Peng, Kazunori Sakurama, Nichika Miyano, Mitsuhiro Yamazumi, Taiga Sugawara   +4 more
wiley   +1 more source

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, Volume 36, Issue 1, 2 January 2026.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of Infrastructures

Sensors
The maturity of simultaneous localization and mapping (SLAM) methods has now reached a significant level that motivates in-depth and problem-specific reviews.
Ali Ghadimzadeh Alamdari, Farzad Azizi Zade, Arvin Ebrahimkhanlou   +2 more
doaj   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +3 more
wiley   +1 more source