17 citations · 41 across the 6 of their papers we have counts for
4 papers · 1 filter
UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling
Madhu Babu, Swagat Kumar, Anima Majumder +1
In this paper, we provide an improved version of UnDEMoN model for depth and ego motion estimation from monocular images. The improvement is achieved by combining the standard bi-l…
Optimized edge-based grasping method for a cluttered environment
Olyvia Kundu, Swagat Kumar
This paper looks into the problem of grasping region localization along with suitable pose from a cluttered environment without any a priori knowledge of the object geometry. This…
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
Madhu Babu, Anima Majumder, Kaushik Das +1
This paper presents an unsupervised deep learning framework called UnDEMoN for estimating dense depth map and 6-DoF camera pose information directly from monocular images. The prop…
A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment
Olyvia Kundu, Swagat Kumar
This paper looks into the problem of grasping unknown objects in a cluttered environment using 3D point cloud data obtained from a range or an RGBD sensor. The objective is to iden…