activity
20162025
most citedOFFSEG: A Semantic Segmentation Framework For Off-Road Driving

63 citations · 147 across the 32 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 17 cited

RELLIS-3D Dataset: Data, Benchmarks and Analysis

Peng Jiang, Philip Osteen, Maggie Wigness +1

Semantic scene understanding is crucial for robust and safe autonomous navigation, particularly so in off-road environments. Recent deep learning advances for 3D semantic segmentat…

cs.RO2020

An Iterative LQR Controller for Off-Road and On-Road Vehicles using a Neural Network Dynamics Model

Akhil Nagariya, Srikanth Saripalli

In this work we evaluate Iterative Linear Quadratic Regulator(ILQR) for trajectory tracking of two different kinds of wheeled mobile robots namely Warthog (Fig. 1), an off-road hol…

cs.RO2020

Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration

Subodh Mishra, Philip R. Osteen, Gaurav Pandey +1

In this paper we perform an experimental comparison of three different target based 3D-LIDAR camera calibration algorithms. We briefly elucidate the mathematical background behind…

cs.RO2020

Extrinsic Calibration of a 3D-LIDAR and a Camera

Subodh Mishra, Gaurav Pandey, Srikanth Saripalli

This work presents an extrinsic parameter estimation algorithm between a 3D LIDAR and a Projective Camera using a marker-less planar target, by exploiting Planar Surface Point to P…

cs.CV2020★ 13 cited

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

Peng Jiang, Srikanth Saripalli

We present a boundary-aware domain adaptation model for LiDAR scan full-scene semantic segmentation (LiDARNet). Our model can extract both the domain private features and the domai…