Deep 3D object detection networks using LiDAR data: A review
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 …
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
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 …
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
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 …
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
This letter presents an autonomous navigation system for ground robots traversing
aggressive unstructured terrain through a cohesive arrangement of mapping, deliberative …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
terrain at low speeds with fuzzy elevation maps (FEMs). To this end, leveled three …