scholarly journals How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3761
Author(s):  
Damian Grzechca ◽  
Adam Ziębiński ◽  
Krzysztof Paszek ◽  
Krzysztof Hanzel ◽  
Adam Giel ◽  
...  
Keyword(s):  
Dead Reckoning ◽  
Ultra Wideband ◽  
Commercial Vehicles ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
New Approach ◽  
Positioning Systems ◽  
Localization And Mapping ◽  
Assistance Systems

This paper compares two positioning systems, namely ultra-wideband (UWB) based micro-location technology and dead reckoning and a RPLidar based simultaneous localization and mapping (SLAM) solution. This new approach can be used to improve the quality of the positioning system and increase the functionality of advanced driver assistance systems (ADAS). This is achieved by using stationary nodes and UWB tags on the vehicles. Thus, the redundancy of localization can be achieved by this approach, e.g., as a backup to onboard sensors like RPlidar or radar. Additionally, UWB based micro-location allows additional data channels to be used for communication purposes. Furthermore, it is shown that the regular use of correction data increases UWB and dead reckoning accuracy. These correction data can be based on onboard sensors. This shows that it is promising to develop a system that fuses onboard sensors and micro-localization for safety-critical tasks like the platooning of commercial vehicles.

Latest developments in driver assistance systems for commercial vehicles

ATZ worldwide ◽  
2009 ◽  
Vol 111 (7-8) ◽  
pp. 22-27
Author(s):  
Christian Wiehen ◽  
Kurt Lehmann ◽  
Jean-Christophe Figueroa
Keyword(s):  
Commercial Vehicles ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Assistance Systems

scholarly journals AFFECTIVE-SOUND EFFECTS ON DRIVING BEHAVIOUR

Transport ◽  
2013 ◽  
Vol 29 (1) ◽  
pp. 100-106 ◽  
Author(s):  
Jesús Serrano ◽  
Leandro Luigi Di Stasi ◽  
Alberto Megías ◽  
Andrés Catena
Keyword(s):  
Driving Safety ◽  
Auditory Signal ◽  
Road Accidents ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Emotional Quality ◽  
Sound Effects ◽  
Technological Developments ◽  
Assistance Systems

Recent technological developments in active advanced driver assistance systems and in-car infotainment devices have contributed to reducing the number and severity of road accidents as well as improving and simplifying driver experience. However, these systems may impact driving performance in undesired ways, especially when emotionally-charged stimuli are used as warning signals. Emotional distraction can be a serious danger, causing delays in information processing, and reducing driving safety below minimal acceptable levels. Here we study the effect of emotionally-laden auditory signals on the speed of concurrent driving decisions. We distinguished two categories of behavioural responses: ‘urgent’ vs ‘evaluative’. In the experiments reported here participants were quicker to evaluate whether a traffic scene was risky or not after hearing an emotionally-charged auditory stimulus than after a neutral one. However, urgent (braking) responses to the same scenes were not affected by the emotional quality of the auditory signal. Based on these results, we give preliminary advice on the design of guidelines for in-car interfaces particularly in the field of affective in-car computing.

scholarly journals Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Abdelmoghit Zaarane ◽  
Ibtissam Slimani ◽  
Abdellatif Hamdoun ◽  
Issam Atouf
Keyword(s):  
Real Time ◽  
Template Matching ◽  
Cross Correlation ◽  
Vehicle Detection ◽  
Discrete Wavelet ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Step Potential ◽  
Assistance Systems

Nowadays, real-time vehicle detection is one of the biggest challenges in driver-assistance systems due to the complex environment and the diverse types of vehicles. Vehicle detection can be exploited to accomplish several tasks such as computing the distances to other vehicles, which can help the driver by warning to slow down the vehicle to avoid collisions. In this paper, we propose an efficient real-time vehicle detection method following two steps: hypothesis generation and hypothesis verification. In the first step, potential vehicles locations are detected based on template matching technique using cross-correlation which is one of the fast algorithms. In the second step, two-dimensional discrete wavelet transform (2D-DWT) is used to extract features from the hypotheses generated in the first step and then to classify them as vehicles and nonvehicles. The choice of the classifier is very important due to the pivotal role that plays in the quality of the final results. Therefore, SVMs and AdaBoost are two classifiers chosen to be used in this paper and their results are compared thereafter. The results of the experiments are compared with some existing system, and it showed that our proposed system has good performance in terms of robustness and accuracy and that our system can meet the requirements in real time.

Evaluation methods for the function and quality of driver assistance systems with active brake control

ATZ worldwide ◽  
2007 ◽  
Vol 109 (5) ◽  
pp. 14-18 ◽  
Author(s):  
Bernhard Schick ◽  
Rolf Büttner ◽  
Klaus Baltruschat ◽  
Günther Meier ◽  
Heiko Jakob
Keyword(s):  
Evaluation Methods ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Assistance Systems

Effective potential of driver assistance systems in commercial vehicles

2006 ◽  
Vol 1 (3) ◽  
pp. 6-9
Author(s):  
Eberhard Hipp ◽  
Walter Schwertberger ◽  
Johann Gwehenberger
Keyword(s):  
Effective Potential ◽  
Commercial Vehicles ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Assistance Systems

scholarly journals How to Manage Conflict and Ambiguities in Localization and Map Matching

2014 ◽  
Vol 23 (2) ◽  
pp. 171-182 ◽  
Author(s):  
Dominique Gruyer ◽  
Rachid Belaroussi ◽  
Vincent Vigneron ◽  
Aurelien Cord
Keyword(s):  
Map Matching ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
New Approach ◽  
Satellite Positioning ◽  
Global Positioning ◽  
Belief Theory ◽  
Assistance Systems ◽  
Vehicle Position ◽  
New Applications

AbstractSince the use of systems of satellite positioning such as the global positioning system (GPS), applications have tried to locate vehicles on maps representing the environment with their attributes. For one decade, this has led to both localization and navigation services for users. Recently, new researches have begun in order to extend the functionalities of the existing systems and thus to develop new applications using these technologies in the design of driver assistance systems. These new systems will indeed allow us to anticipate road departures or prevent overspeed turn approaches. Nevertheless, to deploy such new functionalities, it is imperative to ensure the association of vehicle position with one of the roadmap segments. In this article, we propose a new approach based on the belief theory taking into account the imperfections of available data in order to ensure the positioning and tracking of a vehicle on a roadmap and to manage conflicts and ambiguities using a multi-hypotheses decision.

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