Three-dimensional mapping with augmented navigation cost through deep learning

FG Oliveira, AA Neto, D Howard, P Borges… - Journal of Intelligent & …, 2021 - Springer
This work addresses the problem of mapping terrain features based on inertial and LiDAR
measurements to estimate navigation cost, for an autonomous ground robot. The navigation …

Autonomous navigation in dynamic environments: Deep learning-based approach

O Mohamed, Z Mohsen, M Wageeh… - arXiv preprint arXiv …, 2021 - arxiv.org
Mobile robotics is a research area that has witnessed incredible advances for the last
decades. Robot navigation is an essential task for mobile robots. Many methods are …

Continuous mapping and localization for autonomous navigation in rough terrain using a 3D laser scanner

D Droeschel, M Schwarz, S Behnke - Robotics and Autonomous Systems, 2017 - Elsevier
For autonomous navigation in difficult terrain, such as degraded environments in disaster
response scenarios, robots are required to create a map of an unknown environment and to …

A self-training approach-based traversability analysis for mobile robots in urban environments

H Lee, W Chung - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
This paper presents a method for LiDAR sensor-based traversability analysis for
autonomous mobile robots in urban environments. Although urban environments are …

Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments

P Krüsi, P Furgale, M Bosse… - Journal of Field …, 2017 - Wiley Online Library
We present a practical approach to global motion planning and terrain assessment for
ground robots in generic three‐dimensional (3D) environments, including rough outdoor …

Make Your Autonomous Mobile Robot on the Sidewalk Using the Open-Source LiDAR SLAM and Autoware

M Kim, S Lee, J Ha, H Lee - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
An outdoor delivery robot requires autonomous navigation technologies, such as map
generation, driving area definition, path generation, and control. However, integrating the …

Real-time autonomous ground vehicle navigation in heterogeneous environments using a 3D LiDAR

A Pfrunder, PVK Borges, AR Romero… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
The ability to drive autonomously in heterogeneous environments without GPS, pattern
identification (eg road following), or artificial landmarks is key to field robotics. To address …

SLAM-driven intelligent autonomous mobile robot navigation for construction applications

P Kim, J Chen, J Kim, YK Cho - … Strategies for Engineering: 25th EG-ICE …, 2018 - Springer
The demand for construction site automation with mobile robots is increasing due to its
advantages in potential cost-saving, productivity, and safety. To be realistically deployed in …

Fast terrain traversability estimation with terrestrial lidar in off-road autonomous navigation

C Goodin, L Dabbiru, C Hudson… - Unmanned Systems …, 2021 - spiedigitallibrary.org
Autonomous navigation (also known as self-driving) has rapidly advanced in the last decade
for on-road vehicles. In contrast, off-road vehicles still lag in autonomous navigation …

Diter: Diverse terrain and multi-modal dataset for field robot navigation in outdoor environments

S Jeong, H Kim, Y Cho - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
Field robots require autonomy in diverse environments to navigate and map their surround-
ings efficiently. However, the lack of diverse and comprehensive datasets hinders the …