An Investigation of Interpolation Techniques to Generate 2D Intensity Image From LIDAR Data
Light detection and ranging (LIDAR) has become a part and parcel of ongoing research in autonomous vehicles. LIDAR efficiently captures data during day and night alike; yet, data accuracy is affected in altered weather conditions. LIDAR data fusion with sensors, such as color camera, hyperspectral c...
Main Authors: | Imran Ashraf, Soojung Hur, Yongwan Park |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7915679/ |
Similar Items
-
Analyzing Performance of YOLOx for Detecting Vehicles in Bad Weather Conditions
by: Imran Ashraf, et al.
Published: (2024-01-01) -
Object Recognition Based Interpolation With 3D LIDAR and Vision for Autonomous Driving of an Intelligent Vehicle
by: Ihn-Sik Weon, et al.
Published: (2020-01-01) -
BLocate: A Building Identification Scheme in GPS Denied Environments Using Smartphone Sensors
by: Imran Ashraf, et al.
Published: (2018-11-01) -
mPILOT-Magnetic Field Strength Based Pedestrian Indoor Localization
by: Imran Ashraf, et al.
Published: (2018-07-01) -
Enhancing Performance of Magnetic Field Based Indoor Localization Using Magnetic Patterns from Multiple Smartphones
by: Imran Ashraf, et al.
Published: (2020-05-01)