Off|road obstacle classification and traversability analysis in the ...

Obstacle Detection in Smooth High Curvature Terrain

The obstacle detection algorithm consists of two stages: classification, and fusing. As scan lines come in, each range point in the scan is classified as ' ...

Lidar-based Obstacle Detection and Recognition for Autonomous ...

terrain classification for autonomous off-road navigation. ... evaluation for binary traversability assessment, class-specific obstacle mapping, ...

A classification of on-road obstacles according to their relative ...

The systems based on image processing have numerous applications in the domain of motion control of robots and autonomous vehicles.

Assessing Impact of Understory Vegetation Density on Solid ...

obstacle detection in off-road traversability analysis. By ... To analyze the performance of the aforementioned classification methods ...

Classification of Binary Obstacle Terrain Based on 3D World Models ...

... analyze traversability for off-road navigation of an unmanned robot. In this paper, we examine the use of 3D world models(terrain maps) to classify obstacle ...

EAT: Environment Agnostic Traversability for reactive navigation

traversability, using a fine-grained semantic segmentation for off-road ... the framework to miss-classify obstacles as traversable. Page 9 ...

A terrain description method for traversability analysis based on ...

... detection of cluttered obstacles, potholes, or even slopes. With the ... classify them into five categories based on their traversability index.

Fuzzy Based Traversability Analysis for a Mobile Robot on Rough ...

For successful classification and traversability analysis, a rela- tively ... In this situation, the robot could choose traversable path between these obstacles.

Augmenting Traversability Maps with Ultra-Wideband Radar to ...

Classifying vegetation does not solve this problem since there might be an obstacle hidden behind the vegetation. In addition, dense vegetation ...

Learning multiobjective rough terrain traversability

It is common to classify ... Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning.

Terrain Traversability Prediction for Off-RoadAutonomous Driving

We focus on the problem of estimating the traversability of terrain for autonomous off-road navigation. To produce dense and accurate local traversability ...

Traversability Analysis for Off-Road Vehicles using Stereo and ...

Online classification of stereo data as pertaining to traversable-safe regions or to obstacles would result in an enabling technology for highly automated or ...

Terrain traversability analysis methods for unmanned ground vehicles

Off-road terrain traversability analysis and hazard ... Obstacle detection and terrain classification for autonomous off-road navigation.