3 accepted papers
The ability to connect visual observations with human language is increasingly valuable for embodied agents in tasks such as navigation and semantic mapping. Existing visual–language map (VLMaps) approach enables this connection but typically depends on depth images to project semantic features into…
Omnidirectional stereo matching (OSM) estimates 360deg depth by performing stereo matching on multi-view fisheye images. Existing methods assume a unimodal depth distribution, matching each pixel to a single object. However, this assumption constrains the sampling range, causing over-smoothed depth…
In this paper, a novel normal distribution mixture matching based model free object tracking algorithm using 2D LIDAR is proposed. Each target object is modeled as a normal distribution mixture that captures the distribution of the points scanned from the surface of the object. This novel representa…