Radar-Lidar Sensor Fusion Sheme Using Occluded Depth Generation for Pedestrian Detection

2017 International Conference on Computational Science and Computational Intelligence (CSCI) ◽

10.1109/csci.2017.322 ◽

2017 ◽

Author(s):

Seong Kyung Kwon ◽

S. H. Son ◽

Eugin Hyun ◽

Jin-Hee Lee ◽

Jonghun Lee

Keyword(s):

Sensor Fusion ◽

Pedestrian Detection

Download Full-text

Sensor fusion with Occupancy Fusion Map for pedestrian detection in outdoor environment

2008 IEEE International Conference on Vehicular Electronics and Safety ◽

10.1109/icves.2008.4640867 ◽

2008 ◽

Author(s):

Zheyuan Lu ◽

Zhencheng Hu ◽

Keiichi Uchimura ◽

Hitoshi Kubota ◽

Masakazu Ono

Keyword(s):

Sensor Fusion ◽

Pedestrian Detection ◽

Outdoor Environment

Download Full-text

A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion

2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) ◽

10.1109/rtcsa.2016.20 ◽

2016 ◽

Author(s):

Seong Kyung Kwon ◽

Eugin Hyun ◽

Jin-Hee Lee ◽

Jonghun Lee ◽

Sang Hyuk Son

Keyword(s):

Sensor Fusion ◽

Pedestrian Detection ◽

Low Complexity ◽

Radar Sensor ◽

Partially Occluded

Download Full-text

LiDAR/camera sensor fusion technology for pedestrian detection

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.1109/apsipa.2017.8282301 ◽

2017 ◽

Author(s):

Tai-En Wu ◽

Chia-Chi Tsai ◽

Jiun-In Guo

Keyword(s):

Sensor Fusion ◽

Pedestrian Detection ◽

Fusion Technology ◽

Download Full-text

Occlusion aware sensor fusion for early crossing pedestrian detection

2019 IEEE Intelligent Vehicles Symposium (IV) ◽

10.1109/ivs.2019.8814065 ◽

2019 ◽

Author(s):

Andras Palffy ◽

Julian F. P. Kooij ◽

Dariu M. Gavrila

Keyword(s):

Sensor Fusion ◽

Pedestrian Detection

Download Full-text

The psychophysics of sensor fusion: A multidimensional signal detection analysis

PsycEXTRA Dataset ◽

10.1037/e577712012-081 ◽

2006 ◽

Author(s):

Jason S. McCarley ◽

William K. Krebs

Keyword(s):

Signal Detection ◽

Sensor Fusion ◽

Detection Analysis ◽

Multidimensional Signal ◽

Signal Detection Analysis

Download Full-text

A Globally Referenced and High-precision Visual Positioning Device Based on Multi-sensor Fusion Technology

Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020) ◽

10.33012/2020.17605 ◽

2020 ◽

Author(s):

Stefan Schaufler ◽

Michele Fischell ◽

Geo Boffi ◽

Xiaoguang Luo ◽

Jose Aponte

Keyword(s):

Sensor Fusion ◽

High Precision ◽

Fusion Technology ◽

Visual Positioning ◽

Positioning Device

Download Full-text

Bridging Maritime GNSS Jamming Attacks by GNSS-IMU-DVL Multi-Sensor-Fusion

Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) ◽

10.33012/2019.16947 ◽

2019 ◽

Author(s):

R. Ziebold ◽

M. Romanovas ◽

D. Arias Medina ◽

Ch. Lass ◽

S. Gewies

Keyword(s):

Sensor Fusion ◽

Jamming Attacks

Download Full-text

Covariance Estimation for GPS-LiDar Sensor Fusion for UAVs

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

10.33012/2017.15165 ◽

2017 ◽

Author(s):

Akshay Shetty ◽

Grace Xingxin Gao

Keyword(s):

Sensor Fusion ◽

Covariance Estimation

Download Full-text

Sensor Fusion Algorithm for Airborne Autonomous Vehicle Collision Avoidance Applications

10.15368/theses.2019.58 ◽

2018 ◽

Author(s):

Julien Albert Doe

Keyword(s):

Collision Avoidance ◽

Sensor Fusion ◽

Autonomous Vehicle ◽

Fusion Algorithm ◽

Vehicle Collision

Download Full-text

Selective Integration of Local-Feature Detector by Boosting for Pedestrian Detection

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.129.512 ◽

2009 ◽

Vol 129 (3) ◽

pp. 512-521

Author(s):

Kenji Nishida ◽

Takio Kurita

Keyword(s):

Pedestrian Detection ◽

Local Feature ◽

Feature Detector ◽

Selective Integration

Download Full-text