• Title/Summary/Keyword: Automated driving system

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Electromagnetic Immunity Test Environments of Advanced Vehicles with Communication Systems (첨단자동차의 전자파 내성 실험 환경에 관한 연구: 외부통신 장치를 중심으로)

  • Woo, Hyungu
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.1
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    • pp.14-19
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    • 2022
  • Recently, automobile industries have developed ADAS, smart cars, connected cars, automated driving systems, which communicate with outsides of a vehicle not only in uni-directional way but also in bi-directional way. It is necessary to examine the electromagnetic immunity of vehicles equipped with those communication systems. The electromagnetic immunity tests are carried out in an electromagnetic semi anechoic chamber, which is cut off from the outside electromagnetically. In this study, additional test environments were designed and tested and as a result they are shown to be effective to create test environments in an experimental chamber for electromagnetic immunity tests of vehicles equipped with communication systems.

Suggestion of Evaluation Elements Based on ODD for Automated Vehicles Safety Verification : Case of K-City (자율주행자동차 안전성 검증을 위한 ODD 기반 평가요소 제시 : K-City를 중심으로)

  • Kim, Inyoung;Ko, Hangeom;Yun, Jae-Woong;Lee, Yoseph;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.197-217
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    • 2022
  • As automated vehicle(AV) accidents continue to occur, the importance of safety verification to ensure the safety and reliability of automated driving system(ADS) is being emphasized. In order to encure safety and reliability, it is necessary to define an operational design domain(ODD) of the ADS and verify the safety of the ADS while evaluating its ability to respond in situations outside of the ODD. To this, international associations such as SAE, BSI, NHTSA, ISO, etc. stipulate ODD standards. However, in Korea, there is no standard for the ODD, so automated vehicles's ODD expression method and safety verification and evaluation are not properly conducted. Therefore, this study analyzed overseas ODD standards and selected suitable ODD for safety verification and evaluation, and presented evaluation elements for ADS safety verification and evaluation. In particular, evaluation elements were selected by analyzing the evaluation environment of the automated driving experimental city (K-City) that supports the development of ADS technology.

Reliability Verification of Secured V2X Communication for Cooperative Automated Driving (자율협력주행을 위한 V2X 보안통신의 신뢰성 검증)

  • Jung, Han-gyun;Lim, Ki-taeg;Shin, Dae-kyo;Yoon, Sang-hun;Jin, Seong-keun;Jang, Soo-hyun;Kwak, Jae-min
    • Journal of Advanced Navigation Technology
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    • v.22 no.5
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    • pp.391-399
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    • 2018
  • V2X communication is a technology in which a vehicle exchanges information with various entities such as other vehicles, infrastructure, networks, pedestrians, etc. through a wired or wireless network. Recently, V2X communication technology has been steadily developed and recently it has played an important role in autonomous cooperation driving technology combined with autonomous vehicle technology. Autonomous vehicles can utilize the external information received via V2X communication to extend the recognition range of existing sensors and to support more safe and natural autonomous driving. In order to operate these autonomous cooperative vehicles on public roads, the security and reliability of autonomous V2X communication should be verified in advance. In this paper, we present test scenarios and test procedures of secure V2X communication for cooperative automated driving and present verification results.

A Development of Parallel Type Hybrid Drivetrain System for Transit Bus Part 3 : Optimal Driving Control Algorithm (버스용 병렬형 하이브리드 동력전달계의 개발(III) 제 3 편;최적 주행 제어 알고리즘)

  • 조한상;이장무;박영일
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.6
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    • pp.182-197
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    • 1999
  • Described in this paper is an optimal driving control algorithm which focused on the improvement of fuel economy and the minimization of pollutant emissions in the parallel type hybrid drivertrain system for transit bus. For the energy balance among components such as engine, induction machine and buttery, the algorithm for power split ration determine is proposed. When it is implemented in the hybrid electric control unit(HECU) , using the sub-optimal method and the approximate technique , it is possible to save the memory , to shorten the calculation time, and to achieve the efficient driving actually. A Shift strategy for automated manual transmission is the other side of the driving control algorithm. It enables to select the optimal gear by using several shift maps which were predefined from the proposed method in this paper, As a results of driving simulation, it is proved that these algorithms make the hybrid drivetrain system to reduce fuel consumption and emissions considerably and to have the ability to the efficient use of battery.

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Design and Implementation of Automatic Scoring Software to improve the Efficiency of Driving License Test (운전면허시험 효율성 향상을 위한 자동채점 소프트웨어 설계 및 구현에 관한 연구)

  • Kim, Cheol Woo;Yang, Jaesoo;Na, Wonshik
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.2
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    • pp.180-189
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    • 2017
  • Some people who take a driver's license test retake it again because of license cancellation, but most of them take the test for the first time to drive the car. Driving a car is directly linked to life, and the initial correct driving habits are more important than anything else. In particular, it is very important to obtain a license by evaluating the correct driving ability based on objective and fair standards when learning the first driving, because many people acquire a driving license while entering the society for the first time. In this paper, we propose the S / W design and its main functions that can emit high quality drivers through efficient, fair and accurate automated scoring. Through this, it is proposed to improve the automatic grading driver's license system, to prevent traffic accidents, and to reduce traffic accidents through proper driving.

A Study on The Extraction of Driving Behavior Parameters for the Construction of Driving Safety Assessment Scenario (주행안전성 평가 시나리오 구축을 위한 주행행태 매개변수 추출에 관한 연구)

  • Min-Ji Koh;Ji-Yoen Lee;Seung-Neo Son
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.2
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    • pp.101-106
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    • 2024
  • For the commercialization of automated vehicles, it is necessary to create various scenarios that can evaluate driving safety and establish a data system that can verify them. Depending on the vehicle's ODD (Operational Design Domain), there are numerous scenarios with various parameters indicating vehicle driving conditions, but no systematic methodology has been proposed to create and combine scenarios to test them. Therefore, projects are actively underway abroad to establish a scenario library for real-world testing or simulation of autonomous vehicles. However, since it is difficult to obtain data, research is being conducted based on simulations that simulate real road. Therefore, in this study, parameters calculated through individual vehicle trajectory data extracted based on roadside CCTV image-based driving environment DB was proposed through the extracted data. This study can be used as basic data for safety standards for scenarios representing various driving behaviors.

Method of Multiple Scenario Transformation and Simulation Based Evaluation for Automated Vehicle Assessment (자율주행자동차 평가를 위한 다중 시나리오 변환과 시뮬레이션 기반 평가 방법)

  • Donghyo Kang;Inyoung Kim;Seong-Woo Cho;Ilsoo Yun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.230-245
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    • 2023
  • The importance of evaluating the safety of Automated Vehicles (AV) is increasing with the advances in autonomous driving technology. Accordingly, an evaluation scenario that defines in advance the situations AV may face while driving is being used to conduct efficient stability evaluation. On the other hand, the single scenarios currently used in conventional evaluations address limited situations within short segments. As a result, there are limitations in evaluating continuous situations that occur on real roads. Therefore, this study developed a set of multiple scenarios that allow for continuous evaluation across entire sections of roads with diverse geometric structures to assess the safety of AV. In particular, the conditions for connecting individual scenarios were defined, and a methodology was proposed for developing concrete multiple scenarios based on the scenario evaluation procedure of the PEGASUS project. Furthermore, a simulation was performed to validate the practicality of these multiple scenarios.

Development of Automated Guidance Tracking Sensor System Based on Laser Distance Sensors

  • Kim, Joon-Yong;Kim, Hak-Jin;Shim, Sung-Bo;Park, Soo-Hyun;Kim, Jung-Hun;Kim, Young-Joo
    • Journal of Biosystems Engineering
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    • v.41 no.4
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    • pp.319-327
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    • 2016
  • Purpose: Automated guidance systems (AGSs) for mobile farm machinery have several advantages over manual operation in the crop production industry. Many researchers and companies have tried to develop such a system. However, it is not easy to evaluate the performance of an AGS because there is no established device used to evaluate it that complies with the ISO 12188 standard. The objective of this study was to develop a tracking sensor system using five laser distance measurement sensors. Methods: One sensor-for long-range distance measurement-was used to measure travel distance and velocity. The other four sensors-for mid-range distance measurement-were used to measure lateral deviation. Stationary, manual driving, and A-B line tests were conducted, and the results were compared with the real-time kinematic differential global positioning system (RTK-DGPS) signal used by the AGS. Results: For the stationary test, the average error of the tracking sensor system was 1.99 mm, and the average error of the RTK-DGPS was 15.19 mm. For the two types of driving tests, the data trends were similar. A comparison of the changes in lateral deviation showed that the data stability of the developed tracking system was better. Conclusions: Although the tracking system was not capable of measuring long travel distances under strong sunlight illumination because of the long-range sensor's limitations, this dilemma could be overcome using a higher-performance sensor.

Hybrid Control Strategy for Autonomous Driving System using HD Map Information (정밀 도로지도 정보를 활용한 자율주행 하이브리드 제어 전략)

  • Yu, Dongyeon;Kim, Donggyu;Choi, Hoseung;Hwang, Sung-Ho
    • Journal of Drive and Control
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    • v.17 no.4
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    • pp.80-86
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    • 2020
  • Autonomous driving is one of the most important new technologies of our time; it has benefits in terms of safety, the environment, and economic issues. Path following algorithms, such as automated lane keeping systems (ALKSs), are key level 3 or higher functions of autonomous driving. Pure-Pursuit and Stanley controllers are widely used because of their good path tracking performance and simplicity. However, with the Pure-Pursuit controller, corner cutting behavior occurs on curved roads, and the Stanley controller has a risk of divergence depending on the response of the steering system. In this study, we use the advantages of each controller to propose a hybrid control strategy that can be stably applied to complex driving environments. The weight of each controller is determined from the global and local curvature indexes calculated from HD map information and the current driving speed. Our experimental results demonstrate the ability of the hybrid controller, which had a cross-track error of under 0.1 m in a virtual environment that simulates K-City, with complex driving environments such as urban areas, community roads, and high-speed driving roads.

Electromagnetic Immunity Test Environments of Advanced Vehicles with Radar Sensor Systems (첨단자동차의 전자파 내성 실험 환경에 관한 연구: 레이더 센서를 중심으로)

  • Kim, Sungbum;Ryu, Jiil;Woo, Hyungu;Yong, Boojoong
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.4
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    • pp.50-56
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    • 2019
  • Recently, automobile industries have developed ADAS, smart cars, connected cars, automated driving systems, which use a variety of sensor systems - ultrasonics, cameras, lidars and radars - and communication systems. It is necessary to examine the electromagnetic immunity of vehicles equipped with those systems. The electromagnetic immunity tests are carried out in an electromagnetic semi anechoic chamber, which is cut off from the outside. It is difficult to create test environments in which the radar sensor systems of vehicles work properly in the test chamber. In this study, test jigs were designed and tested and as a result they are shown to be effective to create test environments for electromagnetic immunity tests of vehicles equipped with radar sensors. We also proposed additional safety standards for immunity tests of vehicles with radar systems that currently do not exist.