Image based fog detection and visibility estimation for driving assistance systems

2013 ◽  
Author(s):  
Mihai Negru ◽  
Sergiu Nedevschi
Keyword(s):  
Driving Assistance ◽  
Assistance Systems ◽  
Fog Detection ◽  
Visibility Estimation

scholarly journals A Sensor for Urban Driving Assistance Systems Based on Dense Stereovision

Stereo Vision ◽  
10.5772/5891 ◽  
2008 ◽  
Author(s):  
Sergiu Nedevschi ◽  
Radu Danescu ◽  
Tiberiu Marita ◽  
Florin Oniga ◽  
Ciprian Pocol ◽  
...  
Keyword(s):  
Driving Assistance ◽  
Assistance Systems

A lightweight vehicle detection and tracking technique for advanced driving assistance systems

2020 ◽  
Vol 39 (3) ◽  
pp. 2693-2710 ◽  
Author(s):  
Wael Farag
Keyword(s):  
Real Time ◽  
Vehicle Detection ◽  
Machine Learning Algorithms ◽  
Tracking Technique ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking ◽  
Driving Assistance ◽  
Rgb Images ◽  
Assistance Systems ◽  
Self Driving Cars

In this paper, an advanced-and-reliable vehicle detection-and-tracking technique is proposed and implemented. The Real-Time Vehicle Detection-and-Tracking (RT_VDT) technique is well suited for Advanced Driving Assistance Systems (ADAS) applications or Self-Driving Cars (SDC). The RT_VDT is mainly a pipeline of reliable computer vision and machine learning algorithms that augment each other and take in raw RGB images to produce the required boundary boxes of the vehicles that appear in the front driving space of the car. The main contribution of this paper is the careful fusion of the employed algorithms where some of them work in parallel to strengthen each other in order to produce a precise and sophisticated real-time output. In addition, the RT_VDT provides fast enough computation to be embedded in CPUs that are currently employed by ADAS systems. The particulars of the employed algorithms together with their implementation are described in detail. Additionally, these algorithms and their various integration combinations are tested and their performance is evaluated using actual road images, and videos captured by the front-mounted camera of the car as well as on the KITTI benchmark with 87% average precision achieved. The evaluation of the RT_VDT shows that it reliably detects and tracks vehicle boundaries under various conditions.

Driving simulation platform applied to develop driving assistance systems

2010 ◽  
Vol 4 (2) ◽  
pp. 121 ◽  
Author(s):  
W. Jianqiang ◽  
L. Shengbo ◽  
H. Xiaoyu ◽  
L. Keqiang
Keyword(s):  
Driving Simulation ◽  
Simulation Platform ◽  
Driving Assistance ◽  
Assistance Systems

Designing of Vehicle Operation and Control Based on Semiotics

2014 ◽  
Vol 644-650 ◽  
pp. 539-542
Author(s):  
Zhen Wang ◽  
Fang Bian ◽  
Ping Li
Keyword(s):  
Control System ◽  
Interior Design ◽  
Work Load ◽  
Design Criterion ◽  
Vehicle Operation ◽  
Driving Assistance ◽  
Assistance Systems ◽  
And Control

Nowadays, a growing amount of devices are applied on the car, such as systems for navigation, audio, phones, and driving assistance systems. Car interior function systems will get more and more complicated in feature, which require more attention and increase more work load [1]. This paper aims to describe how to design switches of vehicle operation and control system for enhancing the performance of drivers. Therefore, we conducted an interview of Chinese drivers about the problems with their car to explore the advantages and defects of the current interior design. In the paper some cases were analyzed by applied semiotics theory, to discover how to make the manipulation in in-vehicle easy to understand and use for users. To design easy to-use interface, this essay identifies key principle of designing car switches on the Basis of Semiotics, their features, and problems. In the content, we aim to appeal construct design criterion that could be used to direct later car switches systems.

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