scholarly journals Sensor Fusion Based Obstacle Detection/Classification for Active Pedestrian Protection System

2006 ◽  
pp. 294-305 ◽  
Author(s):  
Ho Gi Jung ◽  
Yun Hee Lee ◽  
Pal Joo Yoon ◽  
In Yong Hwang ◽  
Jaihie Kim
Keyword(s):  
Sensor Fusion ◽  
Obstacle Detection ◽  
Protection System ◽  
Pedestrian Protection

Environment-aware sensor fusion for obstacle detection

2016 ◽  
Author(s):  
Adrian Rechy Romero ◽  
Paulo Vinicius Koerich Borges ◽  
Alberto Elfes ◽  
Andreas Pfrunder
Keyword(s):  
Sensor Fusion ◽  
Obstacle Detection

Distance Sensor Fusion for Obstacle Detection at Night Based on Kinect Sensors

2015 ◽  
pp. 135-144
Author(s):  
Alexander Filonenko ◽  
Danilo Cáceres Hernández ◽  
Andrey Vavilin ◽  
Taeho Kim ◽  
Kang-Hyun Jo
Keyword(s):  
Sensor Fusion ◽  
Obstacle Detection ◽  
Distance Sensor

MULTI-SENSOR FUSION BASED UAV COLLISION AVOIDANCE SYSTEM

2015 ◽  
Vol 76 (8) ◽  
Author(s):  
Rethnaraj Rambabu ◽  
Muhammad Rijaluddin Bahiki ◽  
Syaril Azrad
Keyword(s):  
Kalman Filter ◽  
Collision Avoidance ◽  
Sensor Fusion ◽  
Obstacle Detection ◽  
Range Data ◽  
Range Estimation ◽  
Flight Tests ◽  
Ir Sensors ◽  
Aerial Vehicle ◽  
Collision Avoidance System

This paper presents the development of a quadrotor unmanned aerial vehicle (UAV) that is capable of detecting and avoiding collision with obstacles through the implementation of Kalman filter-based multi-sensor fusion and cascaded PID position and velocity controllers. Sensor fusion of ultrasonic (US) and infrared (IR) sensors is performed to obtain a reliable range data for obstacle detection which then fed into collision avoidance controller (CAC) for generating necessary response in terms of attitude commands. Results showed that sensor fusion provided accurate range estimation by reducing noises and errors that were present in individual sensors measurements. Flight tests performed proved the capability of UAV to avoid collisions with the obstacle that was introduced to it during flight successfully.

Active Pedestrian Protection System, Scenario-Driven Search Method for

2013 ◽  
pp. 74-99
Author(s):  
Alberto Broggi ◽  
Pietro Cerri ◽  
Stefano Ghidoni ◽  
Paolo Grisleri ◽  
Ho Gi Jung
Keyword(s):  
Search Method ◽  
Protection System ◽  
Pedestrian Protection
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