Highly Accurate Visual Method of Mars Terrain Classification for Rovers Based on Novel Image Features [PDF]
It is important for Mars exploration rovers to achieve autonomous and safe mobility over rough terrain. Terrain classification can help rovers to select a safe terrain to traverse and avoid sinking and/or damaging the vehicle.
Fengtian Lv +6 more
doaj +4 more sources
Deep Multi-Layer Perception Based Terrain Classification for Planetary Exploration Rovers [PDF]
Accurate classification and identification of the detected terrain is the basis for the long-distance patrol mission of the planetary rover. But terrain measurement based on vision and radar is subject to conditions such as light changes and dust storms.
Chengchao Bai +3 more
doaj +4 more sources
Complete Scene Recovery and Terrain Classification in Textured Terrain Meshes [PDF]
Terrain classification allows a mobile robot to create an annotated map of its local environment from the three-dimensional (3D) and two-dimensional (2D) datasets collected by its array of sensors, including a GPS receiver, gyroscope, video camera, and ...
Kyhyun Um +4 more
doaj +4 more sources
Photogrammetric UAV sees a surge in use for high-resolution mapping, but its use to map terrain under dense vegetation cover remains challenging due to a lack of exposed ground surfaces. This paper presents a novel object-oriented classification ensemble
Xuelian Meng +6 more
doaj +4 more sources
Comparative Study of Different Methods in Vibration-Based Terrain Classification for Wheeled Robots with Shock Absorbers [PDF]
Autonomous robots that operate in the field can enhance their security and efficiency by accurate terrain classification, which can be realized by means of robot-terrain interaction-generated vibration signals.
Mingliang Mei +5 more
doaj +4 more sources
Terrain Classification for a Quadruped Robot [PDF]
Using data retrieved from the Puppy II robot at the University of Zurich (UZH), we show that machine learning techniques with non-linearities and fading memory are effective for terrain classification, both supervised and unsupervised, even with a limited selection of input sensors.
Degrave, Jonas +4 more
openaire +3 more sources
Frequency-Temporal Disagreement Adaptation for Robotic Terrain Classification via Vibration in a Dynamic Environment [PDF]
The accurate terrain classification in real time is of great importance to an autonomous robot working in field, because the robot could avoid non-geometric hazards, adjust control scheme, or improve localization accuracy, with the aid of terrain ...
Chen Cheng +7 more
doaj +2 more sources
Adaptive online terrain classification method for mobile robot based on vibration signals
To improve the accuracy of terrain classification during mobile robot operation, an adaptive online terrain classification method based on vibration signals is proposed.
Mingming Wang, Liming Ye, Xiaoyun Sun
doaj +2 more sources
Terrain characterization and classification with a mobile robot [PDF]
AbstractThis paper introduces novel methods for terrain classification and characterization with a mobile robot. In the context of this paper,terrain classificationaims at associating terrains with one of a few predefined, commonly known categories, such as gravel, sand, or asphalt.Terrain characterization, on the other hand, aims at determining key ...
Ojeda, Lauro +3 more
openaire +5 more sources
Lunar Image Classification for Terrain Detection [PDF]
Terrain detection and classification are critical elements for NASA mission preparations and landing site selection. In this paper, we have investigated several image features and classifiers for lunar terrain classification. The proposed histogram of gradient orientation effectively discerns the characteristics of various terrain types.
Heng-Tze Cheng +4 more
openaire +2 more sources

