4,404 research outputs found
Legal Decision-making for Highway Automated Driving
Compliance with traffic laws is a fundamental requirement for human drivers
on the road, and autonomous vehicles must adhere to traffic laws as well.
However, current autonomous vehicles prioritize safety and collision avoidance
primarily in their decision-making and planning, which will lead to
misunderstandings and distrust from human drivers and may even result in
accidents in mixed traffic flow. Therefore, ensuring the compliance of the
autonomous driving decision-making system is essential for ensuring the safety
of autonomous driving and promoting the widespread adoption of autonomous
driving technology. To this end, the paper proposes a trigger-based layered
compliance decision-making framework. This framework utilizes the decision
intent at the highest level as a signal to activate an online violation monitor
that identifies the type of violation committed by the vehicle. Then, a
four-layer architecture for compliance decision-making is employed to generate
compliantly trajectories. Using this system, autonomous vehicles can detect and
correct potential violations in real-time, thereby enhancing safety and
building public confidence in autonomous driving technology. Finally, the
proposed method is evaluated on the DJI AD4CHE highway dataset under four
typical highway scenarios: speed limit, following distance, overtaking, and
lane-changing. The results indicate that the proposed method increases the
vehicle's overall compliance rate from 13.85% to 84.46%, while reducing the
proportion of active violations to 0%, demonstrating its effectiveness.Comment: 14 pages, 17 figure
Defining procedures and simulation tools to test high levels of automation for cars in realistic traffic, driving and boundary conditions
Il crescente livello di automazione nella guida dei veicoli su gomma rende sempre piĂą complesse e articolate
le procedure di testing e validazione dei dispositivi. La tendenza alla realizzazione di sistemi che sostituiscano
il guidatore in tutto o in parte, determina un cambiamento paradigmatico nell'ambito della validazione, la quale
non può piĂą occuparsi esclusivamente del test del corretto funzionamento del dispositivo da validare, ma dovrĂ
testare le logiche di guida e le "scelte" che opera al variare dei contesti. Come ampiamente evidenziato nella
letteratura scientifica di settore1 i processi di validazione rappresenteranno il piĂą grande ostacolo alla
realizzazione e messa in produzione dei sistemi di quarto e quinto livello SAE2 di automazione. Numerose
ricerche hanno dimostrato3 che il testing su strada non rappresenta una soluzione che possa dare risultati
attendibili in tempi sufficientemente brevi, ma a tutt'oggi non esistono software sufficientemente complessi
da realizzare simulazioni che tengano conto di tutte le variabili necessarie. La ricerca intende definire le
corrette procedure di testing di veicoli ad elevato grado di automazione in condizioni di traffico realistiche,
avvalendosi di software di simulazione specifici di ogni settore coinvolto nel processo, realizzando uno
strumento di testing integrato sufficientemente efficace
ADAPTABLE FINGERPRINT MINUTIAE EXTRACTION ALGORITHM BASED-ON CROSSING NUMBER METHOD FOR HARDWARE IMPLEMENTATION USING FPGA DEVICE
In this article. a main perspective of developing and implementing fingerprint extraction and matching
algorithms as a pari of fingerprint recognition system is focused. First, developing a simple algorithm to
extract fingerprint features and test this algorithm on Pc. The second thing is implementing this algorithm
into FPGA devices. The major research topics on which the proposed approach is developing and
modifying fingerprint extraction feature algorithm. This development and modification are using crossing
number method on pixel representation value '0'. In this new proposed algorithm, it is no need a process
concerning ROI segmentation and no trigonometry calculation. And specially in obtaining their parameters
using Angle Calculation Block avoiding floating points calculation. As this method is local feature that
usually involve with 60-100 minutiae points, makes the template is small in size. Providing FAR. FRR and
EER, performs the performance evaluation of proposed algorithm. The result is an adaptable fingerprint
minutiae extraction algorithm into hardware implementation with 14.05 % of EEl?, better than reference
algorithm, which is 20.39 % . The computational time is 18 seconds less than a similar method, which takes
60-90 seconds just for pre-processing step. The first step of algorithm implementation in hardware
environment (embedded) using FPGA Device by developing IP Core without using any soft processor is
presented
Using An Agent Based Model To Measure Industry Regulations: A Case of Online Games In Korea
As the online game industry in Korea exceeds $10 billion, social concerns of the industry in terms of policies and regulation areas are increasing. Specifically an enforcement ordinance activated by Korean government in the year of 2014 is told to result in reduced activities in the industry. However, quantitative approaches have been limited to understanding the post effectiveness of regulations. The lack of prior simulation efforts to game industry regulations yields to misunderstanding on optimal level for ruling out side effects. In this study, we suggest the application of agent based model or ABM as a smart service to measure industry policy effects. We review cases applying ABM in various domains with considering the possibility of using ABM in understanding the effectiveness of web board game regulations. We find that the ABM approach would be useful in areas such as analysis of regulatory effects that reflect a variety of characteristics and measurement of micro-regulatory effects and simulation of regulations. Considering the usefulness of ABM comprehensively, we proposes new directions including establishing a proactive measurement procedure of regulatory effectiveness and procedural a data-based quantitative analysis
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