Temat: automated driving - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An offline path planning method for autonomous vehicles
Autorzy:: Barsi, Á.
Nyerges, Á.
Potó, V.
Tihanyi, V.
Powiązania:: https://bibliotekanauki.pl/articles/111781.pdf
Data publikacji:: 2018
Wydawca:: Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:: connected and automated vehicles
autonomous driving
self-driving vehicles
trajectory planning
path planning
sterowanie pojazdem
zautomatyzowany pojazd
pojazdy samojezdne
planowanie trajektorii
planowanie ścieżki
planowanie trasy
pojazd autonomiczny
Opis:: Driving a road vehicle is a very complex task in terms of controlling it, substituting a human driver with a computer is a real challenge also from the technical side. An important step in vehicle controlling is when the vehicle plans its own trajectory. The input of the trajectory planning are the purpose of the passengers and the environment of the vehicle. The trajectory planning process has several parts, for instance, the geometry of the path-curve or the speed during the way. Furthermore, a traffic situation can also determine many other parameters in the planning process. This paper presents a basic approach for trajectory design. To reach the aim a map will be given as a binary 2204 x 1294 size matrix where the roads will be defined by ones, the obstacles will be defined by zeros. The aim is to make an algorithm which can find the shortest and a suitable way for vehicles between the start and the target point. The vehicle speed will be slow enough to ignore the dynamical properties of the vehicle. The research is one of the first steps to realize automated parking features in a self-drive car.
Źródło:: Production Engineering Archives; 2018, 19; 37-42
2353-5156
2353-7779
Pojawia się w:: Production Engineering Archives
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An automated driving strategy generating method based on WGAIL–DDPG
Autorzy:: Zhang, Mingheng
Wan, Xing
Gang, Longhui
Lv, Xinfei
Wu, Zengwen
Liu, Zhaoyang
Powiązania:: https://bibliotekanauki.pl/articles/2055167.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: automated driving system
deep learning
deep reinforcement learning
imitation learning
deep deterministic policy gradient
system jezdny
uczenie głębokie
uczenie przez naśladowanie
Opis:: Reliability, efficiency and generalization are basic evaluation criteria for a vehicle automated driving system. This paper proposes an automated driving decision-making method based on the Wasserstein generative adversarial imitation learning–deep deterministic policy gradient (WGAIL–DDPG(λ)). Here the exact reward function is designed based on the requirements of a vehicle’s driving performance, i.e., safety, dynamic and ride comfort performance. The model’s training efficiency is improved through the proposed imitation learning strategy, and a gain regulator is designed to smooth the transition from imitation to reinforcement phases. Test results show that the proposed decision-making model can generate actions quickly and accurately according to the surrounding environment. Meanwhile, the imitation learning strategy based on expert experience and the gain regulator can effectively improve the training efficiency for the reinforcement learning model. Additionally, an extended test also proves its good adaptability for different driving conditions.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2021, 31, 3; 461--470
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Automated Driving and Data Protection: Some Remarks on Fundamental Rights and Privacy
Zautomatyzowana jazda samochodem a ochrona danych. Kilka uwag o prawach podstawowych i prywatności
Autorzy:: Funta, Ratislav
Powiązania:: https://bibliotekanauki.pl/articles/1964268.pdf
Data publikacji:: 2021
Wydawca:: Akademia Leona Koźmińskiego w Warszawie
Tematy:: automated driving
data protection
fundamental rights
privacy
zautomatyzowana jazda samochodem
ochrona danych
prawa podstawowe
prywatność
Opis:: In case of conventional vehicles, no or very little data was generated. The widespread use of autonomous vehicles, which have a large number of sensors and camera systems in addition to memory modules and carry out permanent data exchange, has the potential to reveal not only the entire living conditions of the passengers, but also those of pedestrians, and others. The increasing networking of vehicles increases efficiency and mobility. On the one hand, this networking is entirely voluntary, but it can also be mandatory, as in the case of the eCall emergency call system. Regulation (EU) 2015/758 made it mandatory for car-manufacturers from March 31, 2018 to equip their vehicles with automatic emergency call system, which in the event of an accident automatically transmits the position and other relevant data to the rescue services. Can this possibility of ubiquitous surveillance may create legal problems.? This increasing role of data requires special attention against the background of data protection based on fundamental rights and privacy.
W przypadku konwencjonalnych pojazdów nie były generowane żadne dane lub tylko niewielka ich ilość. Powszechne korzystanie z pojazdów automatycznych, które oprócz modułów pamięci mają bardzo dużą liczbę czujników i systemów monitoringu i w których stale odbywa się wymiana danych, ma potencjał ujawnienia wszystkich warunków życia nie tylko pasażerów, ale również przechodniów i innych ludzi. Coraz widoczniejsze tworzenie sieci kontaktów między pojazdami pozwala zwiększyć skuteczność i mobilność. Z jednej strony takie tworzenie sieci kontaktów jest całkowicie dobrowolne, ale może się też stać obowiązkowe. To drugie miało miejsce w przypadku systemu połączeń alarmowych eCall. Rozporządzenie (UE) 2015/758 zobligowało producentów samochodów do tego, by począwszy od 31 marca 2018 roku, wyposażali pojazdy w automatyczny system połączeń alarmowych, który w razie wypadku automatycznie przekaże służbom ratowniczym informacje o lokalizacji samochodu oraz inne istotne dane. Czy ta możliwość wszechobecnej ingwilacji może spowodować problemy prawne? Coraz większa rola, którą odgrywają dane, wymaga szczególnej uwagi na tle ochrony danych w oparciu o ochronę danych i prywatność.
Źródło:: Krytyka Prawa. Niezależne Studia nad Prawem; 2021, 13, 4; 106-118
2080-1084
2450-7938
Pojawia się w:: Krytyka Prawa. Niezależne Studia nad Prawem
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Driver training challenges, barriers and needs arising from ADAS development
Autorzy:: Rodak, Aleksandra
Pełka, Małgorzata
Powiązania:: https://bibliotekanauki.pl/articles/27311806.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: automated vehicle
ADAS
driver training
driving license examination
szkolenie kierowców
egzamin na prawo jazdy
Opis:: Year to year, vehicles are becoming more advanced, and manufacturers offer newer support systems. Progressive technology development must be followed by relevant sociological changes, including establishing a proper user awareness level. Even though compulsory driver training, required before obtaining a license, consists of selected support features, e.g. ABS (Anti-lock Braking System), it does not provide novice drivers with the necessary practical skills and knowledge of all automation features available on the market. To reduce the human error factor, the European Parliament adopted new regulations, including minimum safety requirements for new vehicles. This paper identifies the gap between the current approach toward teaching automation and necessary changes that should be made to ensure road safety. It provides an overview of ADAS functions allowed to be used during driving license exam of category B in different European countries. Moreover, the publication contains results of work carried out under the Trustonomy project. Outcomes obtained from the questionnaires were used to develop new driver training curricula. The publication discusses the developments of a survey conducted among 83 Polish drivers and 91 car fleet managers. The paper reveals their attitude and expectations towards driver training. The results indicate that despite the awareness of ADAS's positive impact on safety (80% of drivers vote, 96% of car fleet managers votes), man people still didn't take part in any training and still do not know how to use systems properly. Even more worrying is the fact that more than 50% of drivers admitted they acquired knowledge about system operation based on their own mistakes. Many responders expressed their interest in acquiring new knowledge. This situation indicates an urgent need to introduce changes to the driver training system. Therefore, the publication highlights different regulatory boundaries across Europe and stresses the need to update existing curricula to introduce proper automation-related training.
Źródło:: Archives of Transport; 2023, 67, 3; 21--34
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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