Deep 3D object detection networks using LiDAR data: A review

Y Wu, Y Wang, S Zhang, H Ogai - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As the foundation of intelligent systems, machine vision perceives the surrounding
environment and provides a basis for decision-making. Object detection is the core task in …

Off-road detection analysis for autonomous ground vehicles: A review

F Islam, MM Nabi, JE Ball - Sensors, 2022 - mdpi.com
When it comes to some essential abilities of autonomous ground vehicles (AGV), detection
is one of them. In order to safely navigate through any known or unknown environment, AGV …

Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3D-lidar data

B Suger, B Steder, W Burgard - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The ability to safely navigate is a crucial prerequisite for truly autonomous systems. A robot
has to distinguish obstacles from traversable ground. Failing on this task can cause great …

Virtual surfaces and attitude aware planning and behaviours for negative obstacle navigation

T Hines, K Stepanas, F Talbot, I Sa… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
This letter presents an autonomous navigation system for ground robots traversing
aggressive unstructured terrain through a cohesive arrangement of mapping, deliberative …

An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles

A Thakur, SK Mishra - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

Lidar based negative obstacle detection for field autonomous land vehicles

E Shang, X An, T Wu, T Hu, Q Yuan… - Journal of Field …, 2016 - Wiley Online Library
Negative obstacles for field autonomous land vehicles (ALVs) refer to ditches, pits, or terrain
with a negative slope, which will bring risks to vehicles in travel. This paper presents a …

[PDF][PDF] Mobile robot navigation using reinforcement learning in unknown environments

MU Khan - Balkan Journal of Electrical and Computer Engineering, 2019 - dergipark.org.tr
In mobile robotics, navigation is considered as one of the most primary tasks, which
becomes more challenging during local navigation when the environment is unknown …

Towards fully autonomous negative obstacle traversal via imitation learning based control

B César-Tondreau, G Warnell, K Kochersberger… - Robotics, 2022 - mdpi.com
Current research in experimental robotics has had a focus on traditional, cost-based,
navigation methods. These methods ascribe a value of utility for occupying certain locations …

Gap traversing motion via a hexapod tracked mobile robot based on gap width detection

T Sasaki, T Fujita - Journal of Robotics and Mechatronics, 2021 - jstage.jst.go.jp
The authors developed a hexapod tracked mobile robot: a tracked mobile robot which is
equipped with six legs attached to the robot's body. In a transportation task, this robot can …

Field navigation using fuzzy elevation maps built with local 3D laser scans

JL Martínez, M Morán, J Morales, AJ Reina, M Zafra - Applied Sciences, 2018 - mdpi.com
The paper describes the case study of the mobile robot Andabata navigating on natural
terrain at low speeds with fuzzy elevation maps (FEMs). To this end, leveled three …