• Title/Summary/Keyword: Autonomous Driving Functions

Search Result 62, Processing Time 0.029 seconds

Method for autonomous driving and convenience functions by installing additional modular devices on commercial yachts (상용 요트 모듈화 장치 추가 설치를 통한 자율주행과 편의 기능에 대한 방법)

  • Lee, Min-Hyeok;Kim, Sang-Hyeong;Joo, Ji-Hye;Lee, Jeong-Woo;Shin, Chang-Hwa
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2021.11a
    • /
    • pp.1376-1379
    • /
    • 2021
  • As the demand for yachts has increased recently, the number of people holding yachts and obtaining driver's licenses is also increasing. Therefore, inconveniences such as registration of entry and departure of ports and boarding lists and maintenance of yachts are occurring. Therefore, in this paper, GPS, Lidar, communication equipment, etc. are easily installed through the implementation of modular equipment inside the yacht, and by accessing modular equipment using a smartphone, route setting and various convenience functions can be used.

Design of Hybrid V2X Communication Platform for Evaluation of Commercial Vehicle Autonomous Driving and Platooning (상용차 자율 군집 주행 평가를 위한 하이브리드 V2X 통신 플랫폼 설계)

  • Jin, Seong-keun;Jung, Han-gyun;Kwak, Jae-min
    • Journal of Advanced Navigation Technology
    • /
    • v.24 no.6
    • /
    • pp.521-526
    • /
    • 2020
  • In this paper, we propose a design method and process for hybrid V2X communication platform that combines WAVE communication and LTE-V2X communication which are C-ITS communication protocols for vehicle environments and Legacy LTE communication which is a commercial mobile communication for evaluating the autonomous platooning platform of commercial vehicles. For a safe and efficient autonomous platooning platform, an low-latency communication function based on C-ITS communication is required, and to control it, commercial communication functions such as Legacy LTE, which can be connected at all times, are required. In order to evaluate such a system, the evaluation equipment must have the same level of communication performance or higher. The main design contents presented in this paper will be applied to the implementation of hybrid V2X terminals for functional evaluation.

Deep Learning-based Depth Map Estimation: A Review

  • Abdullah, Jan;Safran, Khan;Suyoung, Seo
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.1
    • /
    • pp.1-21
    • /
    • 2023
  • In this technically advanced era, we are surrounded by smartphones, computers, and cameras, which help us to store visual information in 2D image planes. However, such images lack 3D spatial information about the scene, which is very useful for scientists, surveyors, engineers, and even robots. To tackle such problems, depth maps are generated for respective image planes. Depth maps or depth images are single image metric which carries the information in three-dimensional axes, i.e., xyz coordinates, where z is the object's distance from camera axes. For many applications, including augmented reality, object tracking, segmentation, scene reconstruction, distance measurement, autonomous navigation, and autonomous driving, depth estimation is a fundamental task. Much of the work has been done to calculate depth maps. We reviewed the status of depth map estimation using different techniques from several papers, study areas, and models applied over the last 20 years. We surveyed different depth-mapping techniques based on traditional ways and newly developed deep-learning methods. The primary purpose of this study is to present a detailed review of the state-of-the-art traditional depth mapping techniques and recent deep learning methodologies. This study encompasses the critical points of each method from different perspectives, like datasets, procedures performed, types of algorithms, loss functions, and well-known evaluation metrics. Similarly, this paper also discusses the subdomains in each method, like supervised, unsupervised, and semi-supervised methods. We also elaborate on the challenges of different methods. At the conclusion of this study, we discussed new ideas for future research and studies in depth map research.

Study on the Autonomous Vehicle Feature for the Elderly Driver (Focusing on Interaction Design) (고령운전자를 위한 자율주행차량 기능 연구 (인터랙션 디자인을 중심으로))

  • Choi, Kyu-Han
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.11
    • /
    • pp.474-481
    • /
    • 2019
  • Korea entered the aged society in 2018 with the elderly population accounting for 14.4% of the total population, and it is expected to enter the super-aged society in 2026. In particular, it is predicted that by 2050, the elderly population will be 38% of the total population, making it one of the countries with the highest number of elderly people in the world. The increase in the elderly population is naturally leading to an increase in the number of traffic accidents among elderly drivers, in 2017, there were 26,713 elderly driver accidents over 65 years of age, with 848 people dying and 38,627 injured. Compared with 2011, the number of accidents and injuries has doubled and the number of deaths has increased 1.4 times. This study determined that the main factors of the increase in traffic accidents were the characteristics of elderly drivers, such as a decrease in visual/hearing ability, cognitive and information processing ability, and muscle strength. Therefore, it raised the necessity of autonomous vehicle(level 2) for elderly driver who can minimize the burden of driving and aimed to study the function of autonomous vehicle for elderly driver who is not familiar with new technology. Based on this, four functions of autonomous vehicles for elderly drivers were derived, such as providing clear information according to the road environment, considering physical characteristics of drivers, simplifying interface, and reinforcing in-vehicle safety devices.

Study on the Development for Traffic Safety Curriculum of Automated Vehicles on Public Roads (실 도로 기반 자율주행자동차 교통안전 교육과정 개발 연구)

  • Jin ho Choi;Jung rae Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.21 no.6
    • /
    • pp.266-283
    • /
    • 2022
  • With the rapid development of autonomous vehicle technology, unexpected accidents are occurring. Therefore, it is necessary to minimize user accident damage through the development of autonomous traffic safety education. Since edge cases, accident type, and risk factor analysis are important for realistic education, overseas case studies and demonstrations were carried out, and based on this, two curriculum for service providers and general users were developed. The service provider curriculum consisted of OEDR, sudden stop, cut-in, take-over, defensive driving, system malfunction, policy and information security education, and the general user curriculum consisted of attention duty, take-over, operating design domain, accidents type, laws, functions, information security education.

A Study on Customer Satisfaction for Smart Trunk using the Kano Model (카노모델을 이용한 스마트 트렁크 기능의 고객 만족에 관한 연구)

  • Kim, Dong-Yeon;Shin, Hoon-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.4
    • /
    • pp.115-123
    • /
    • 2021
  • In recent years, the automobile industry has been facing a major change with the introduction of new technologies represented by autonomous driving, electrification, and digitalization. Major domestic and overseas automakers are trying to use a systematic approach to customer satisfaction through user interfaces to provide customers with a special experience and value beyond just making products with high performance. This study proposes the Kano model as a systematic and qualitative research method for satisfaction. As a case study, 17 functions of a product were sorted (3 operation functions, 7 safety functions, and 7 convenience functions). This was done by analyzing the use case and the customers' requirements for a smart trunk system. 18 new functions were derived via creative ideation codes. In addition, a scientific analysis method is proposed for product quality attributes and the strength of customer satisfaction. Using the Kano methodology, 25 functions were classified into quality attributes: 18 attractive qualities, 3 one-dimensional qualities, and 4 complex qualities, which are combinations of one-dimension qualities and must-have qualities. The functions that have one-dimensional quality and complex qualities were found to have higher customer ratings than the functions that have attractive qualities. Based on this, enterprises could effectively reduce customer complaints and enhance customer satisfaction.

The impact of security and privacy risk on smart car safety and trust (보안과 프라이버시 위험이 스마트카 안전과 신뢰에 미치는 영향)

  • Soonbeom Kwon;Hwansoo Lee
    • Convergence Security Journal
    • /
    • v.23 no.5
    • /
    • pp.9-19
    • /
    • 2023
  • Smart cars, which incorporate information and communication technologies (ICT) to improve driving safety and convenience for drivers, have recently emerged. However, the increasing risk of automotive cybersecurity due to the vulnerability of electronic control units (ECUs) and automotive networks, which are essential for realizing the autonomous driving functions of smart cars, is a major obstacle to the widespread adoption of smart cars. Although there have been only a few real-world cases of smart car hacking, drivers' concerns about the security of smart cars can have a negative impact on their proliferation. Therefore, it is important to understand the risk factors perceived by drivers and the trust in smart cars formed through them in order to promote the future diffusion of smart cars. This study examines the risk factors that affect the formation of trust in smart cars, focusing on security and privacy, and analyzes how these factors affect safety perceptions and trust in smart cars.

Road Sign Function Diversification Strategy to Respond to Changes in the Future Traffic Environment : Focusing on Citizens' Usability of Road Signs (미래 교통환경 변화 대응을 위한 도로표지 기능 다변화 전략: 시민의 도로표지 활용성을 중심으로)

  • Choi, Woo-Chul;Cheong, Kyu-Soo;Na, Joon-Yeop
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.21 no.3
    • /
    • pp.30-41
    • /
    • 2022
  • With the advent of autonomous driving, personal mobility, drones, and smart roads, it is necessary to respond to changes in the road traffic environment in the road guidance system. However, the use of road signs to guide the road is decreasing compared to the past due to the advent of devices such as navigation and smartphones. Therefore, in this study, a large-scale survey was conducted to derive road sign issues and usage plans to respond to future changes. Based on this, this study presented a strategy to diversify road sign functions by analyzing the factors affecting the use of road signs by citizens. As a result, first, it is necessary to provide real-time variable road guidance information that reflects user needs such as traffic, weather, and local events. Second, it is necessary to informatize digital road signs such as reflecting maps with precision. Third, it is necessary to demonstrate road guidance in a virtual environment that reflects various future mobility and road environments.

Implementation of Intelligent Home Robot based on Smartphones and Moving Devices (스마트폰과 이동형 디바이스에 기반한 지능형 가정용 로봇 구현)

  • Yang, Woocheol;Kim, Hajong;Park, Yongjin;Yu, Jeongho;Lim, Sanggul;Lee, Sangjun
    • Journal of IKEEE
    • /
    • v.17 no.4
    • /
    • pp.446-451
    • /
    • 2013
  • As IT technology advances, the need for robots in various areas has been recognized. Robots that focused on the industrial market have been extended to household robots in everyday life. In fact, cleaning robots and security robots have been developed and sold. Most home robots, in spite of high price, their functions are limited. In this paper, we propose the intelligent home robot which is based on smartphones and moving devices to provide various services and voice control.

BLE-based Indoor Positioning System design using Neural Network (신경망을 이용한 BLE 기반 실내 측위 시스템 설계)

  • Shin, Kwang-Seong;Lee, Heekwon;Youm, Sungkwan
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.25 no.1
    • /
    • pp.75-80
    • /
    • 2021
  • Positioning technology is performing important functions in augmented reality, smart factory, and autonomous driving. Among the positioning techniques, the positioning method using beacons has been considered a challenging task due to the deviation of the RSSI value. In this study, the position of a moving object is predicted by training a neural network that takes the RSSI value of the receiver as an input and the distance as the target value. To do this, the measured distance versus RSSI was collected. A neural network was introduced to create synthetic data from the collected actual data. Based on this neural network, the RSSI value versus distance was predicted. The real value of RSSI was obtained as a neural network for generating synthetic data, and based on this value, the coordinates of the object were estimated by learning a neural network that tracks the location of a terminal in a virtual environment.