Autonomous Driving: Disruptive Innovation that Promises to Change the Automotive Industry as We Know It

2015 ◽  
pp. 3-10 ◽  
Author(s):  
Wolfgang Bernhart ◽  
Marc Winterhoff
Keyword(s):  
Automotive Industry ◽  
Autonomous Driving ◽  
Disruptive Innovation

scholarly journals An adaptive system for autonomous driving

2020 ◽  
Vol 28 (3) ◽  
pp. 1189-1212
Author(s):  
Martin Zimmermann ◽  
Franz Wotawa
Keyword(s):  
Adaptive Control ◽  
Automotive Industry ◽  
Environmental Conditions ◽  
Environmental Changes ◽  
Adaptive System ◽  
Control Method ◽  
Autonomous Driving ◽  
Optimal Selection ◽  
Safe State ◽  
Over Time

Abstract Having systems that can adapt themselves in case of faults or changing environmental conditions is of growing interest for industry and especially for the automotive industry considering autonomous driving. In autonomous driving, it is vital to have a system that is able to cope with faults in order to enable the system to reach a safe state. In this paper, we present an adaptive control method that can be used for this purpose. The method selects alternative actions so that given goal states can be reached, providing the availability of a certain degree of redundancy. The action selection is based on weight models that are adapted over time, capturing the success rate of certain actions. Besides the method, we present a Java implementation and its validation based on two case studies motivated by the requirements of the autonomous driving domain. We show that the presented approach is applicable both in case of environmental changes but also in case of faults occurring during operation. In the latter case, the methods provide an adaptive behavior very much close to the optimal selection.

scholarly journals European automotive technological innovation systems in the age of disruption: The suppliers’ view

2020 ◽  
Vol 12 (3) ◽  
pp. 53-77
Author(s):  
Ana Hafner ◽  
Dolores Modic
Keyword(s):  
Technological Innovation ◽  
Automotive Industry ◽  
Empirical Studies ◽  
Autonomous Driving ◽  
Innovation Systems ◽  
Innovation Activity ◽  
Electric Cars ◽  
Start Ups ◽  
Original Equipment Manufacturers ◽  
Method Approach

Abstract Although empirical studies show that suppliers’ innovativeness enhances original equipment manufacturers’ (OEM) total innovation performance, some evidence reveals that suppliers’ innovation affects OEM in quantitatively and qualitatively limited ways. This study aims to explore innovation systems of European automobile producers, i.e., OEM. Technological innovation systems (TIS) remain relatively underexplored, but the approach is especially valuable for explaining why and how sustainable and circular innovation develop and spread. We applied a mixed-method approach and conducted patent analyses and interviews with 20 respondents from Slovenia, Austria, and Hungary, which are representatives of suppliers for the automotive industry and automotive clusters. We confirm that the European OEMs build innovation ecosystems that are more closed than their Asian counterparts. Furthermore, we define three paths of how inventions of suppliers can reach the OEMs, with developmental suppliers (large companies) having the highest probability of influencing the innovation activity of OEMs. The entry of small and medium-sized enterprises (SME) and start-ups with their inventions is difficult. However, it is not impossible, especially if they develop new solutions connected to current disruptive trends in the automotive industry: electric cars, autonomous driving and digitalisation.

scholarly journals Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems

2021 ◽  
Vol 11 (8) ◽  
pp. 3604
Author(s):  
Alessandro Severino ◽  
Salvatore Curto ◽  
Salvatore Barberi ◽  
Fabio Arena ◽  
Giovanni Pau
Keyword(s):  
Cross Sections ◽  
Automotive Industry ◽  
Autonomous Vehicles ◽  
Modern Society ◽  
Autonomous Driving ◽  
Comprehensive Analysis ◽  
Urban Transport ◽  
Transport Systems ◽  
Contemporary Society ◽  
Potential Impact

Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. Indeed, the introduction of Autonomous Vehicles (AVs) on the market, along with the development of related technologies, will have a potential impact not only on the automotive industry but also on urban transport systems. New mobility-related businesses will emerge, whereas existing ones will have to adapt to changes. There are various aspects that affect urban transport systems: in this work, we highlight how road markings, intersections, and pavement design upgradings have a key role for AVs operation. This work aims to describe how contemporary society will be influenced by Autonomous Vehicles’ spread in regard to urban transport systems. A comprehensive analysis of the expected developments within urban transport systems is hereby presented, and some crucial issues concerning benefits and drawbacks are also discussed. From our studies, it emerges that the detection performed by vehicles is mainly affected by road markings characteristics, especially at intersections. Indeed, the need for a new cross-sections type arise, since vehicles wandering phenomena will be reduced due to AVs position-keeping systems.

scholarly journals Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4561
Author(s):  
Răzvan Bogdan ◽  
Mihaela Crișan-Vida ◽  
Darius Barmayoun ◽  
Loredana Lavinia Staicu ◽  
Robert Valentin Puiu ◽  
...  
Keyword(s):  
Automotive Industry ◽  
Autonomous Driving ◽  
Data Traffic ◽  
Performance Measurements ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Radar Sensors ◽  
Traffic Volumes ◽  
Assistance Systems ◽  
Communication Traffic

New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

scholarly journals Laser and LIDAR in a System for Visibility Distance Estimation in Fog Conditions

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6322
Author(s):  
Razvan-Catalin Miclea ◽  
Ciprian Dughir ◽  
Florin Alexa ◽  
Florin Sandru ◽  
Ioan Silea
Keyword(s):  
Automotive Industry ◽  
Autonomous Vehicles ◽  
Distance Estimation ◽  
Critical Factor ◽  
Weather Conditions ◽  
Autonomous Driving ◽  
Measurement Systems ◽  
Visibility Distance ◽  
Set Up ◽  
Bad Weather

Visibility is a critical factor for transportation, even if we refer to air, water, or ground transportation. The biggest trend in the automotive industry is autonomous driving, the number of autonomous vehicles will increase exponentially, prompting changes in the industry and user segment. Unfortunately, these vehicles still have some drawbacks and one, always in attention and topical, will be treated in this paper—visibility distance issue in bad weather conditions, particularly in fog. The way and the speed with which vehicles will determine objects, obstacles, pedestrians, or traffic signs, especially in bad visibility, will determine how the vehicle will behave. In this paper, a new experimental set up is featured, for analyzing the effect of the fog when the laser and LIDAR (Light Detection And Ranging) radiation are used in visibility distance estimation on public roads. While using our experimental set up, in the laboratory, the information offered by these measurement systems (laser and LIDAR) are evaluated and compared with results offered by human observers in the same fog conditions. The goal is to validate and unitarily apply the results regarding visibility distance, based on information arrives from different systems that are able to estimate this parameter (in foggy weather conditions). Finally, will be notifying the drivers in case of unexpected situations. It is a combination of stationary and of moving systems. The stationary system will be installed on highways or express roads in areas prone to fog, while the moving systems are, or can be, directly installed on the vehicles (autonomous but also non-autonomous).

scholarly journals The future of the automotive industry: dangerous challenges or new life for a saturated market?

2020 ◽  
pp. 1-34
Author(s):  
Annamaria Simonazzi ◽  
Jorge Jorge Carreto Sanginés ◽  
Margherita Russo
Keyword(s):  
Automotive Industry ◽  
Value Chain ◽  
Rapid Change ◽  
Autonomous Driving ◽  
Trade Agreements ◽  
The North ◽  
Research And Innovation ◽  
Main Challenge ◽  
The Impact ◽  
Radical Transformation

The automotive industry is undergoing a radical transformation. New social, technological, environmental and geopolitical challenges are redefining the characteristics of a saturated market, opening new scenarios while offering opportunities for the entry of new players. These challenges are bound to trigger reorganization of the global value chain between old and new suppliers and car makers and their suppliers, affecting the distribution of employ-ment, the regionalization of production and the dynamic evolution of the comparative ad-vantage of nations. In this paper we address the issue of the reorganization of global value chains in the face of these challenges. The analysis will compare the relative position of core and peripheries in the North-American and European macro-regions, focusing on Mexico, which represents a significant case study for analysis of the impact of the digital transformation on the domestic value chain in an “integrated periphery”, and of trade agreements on the location policies of big multinationals. The dependency of the Mexican automotive industry on the strategic decisions of global players is considered a factor of great vulnerability, especially in a context of rapid change in the patterns of consumption, technologies and international trade agreements. For Mexico, as for European producers in the integrated and semi-peripheries, the main challenge in the near future will be posed by the radical transformation the industry is going through in electrical and autonomous-driving vehicles, which sees regions and players outside the traditional automotive clusters in the lead. The transformations taking place are bound to change the global structure of automotive production. The rise of new competitors from the emerging economies and would-be entrants from other sectors, competing in mastering the new digital and software technologies, threatens the established structure of the industry. The pandemic has led to a spectacular acceleration in the process of change, while heightening uncertainty about future developments. This is why the governments of leading countries are joining in the race, wielding carrots and sticks in support of their industries and in the endeavor to encourage risk-taking and investment in research and innovation, step up e-vehicle production while providing for the necessary infrastructures, and guarantee their companies a place in the new industry.

Geräusch- und Vibrationsbekämpfung in modernen Fahrzeugen/Noise and vibration control in modern vehicles and new challenges due to the rise of e-mobility

2020 ◽  
Vol 15 (06) ◽  
pp. 194-198
Author(s):  
E. Kruse
Keyword(s):  
Vibration Control ◽  
Fuel Consumption ◽  
Automotive Industry ◽  
Well Being ◽  
Autonomous Driving ◽  
Driving Safety ◽  
Control Technology ◽  
Additional Costs ◽  
New Challenges ◽  
Conflicting Goals

Zusammenfassung Weniger Kraftstoffverbrauch bei besseren Fahrleistungen, mehr Komfort und Fahrsicherheit ohne Mehrkosten sowie der Wandel zur Elektromobilität und zum autonomen Fahren: All diese Herausforderungen halten die Automobilindustrie konstant in Bewegung. Neben der technischen Umsetzung haben die Veränderungen Einfluss auf erzeugte Geräusche und Vibrationen und so auf den Komfort und das Wohlbefinden aller Fahrzeuginsassen. Automobilhersteller stehen daher gleich vor mehreren Zielkonflikten. Hier sind neue Lösungsansätze der automobilen Schwingungstechnik gefragt, um auch in der elektrifizierten und autonomen Zukunft komfortabel, entspannt und sicher anzukommen. SUMMARY Lower fuel consumption with better driving performance, more comfort and driving safety without additional costs as well as the change to electromobility and autonomous driving: All these challenges keep the automotive industry constantly on the move. In addition to the technical implementation, the changes have an impact on generated noise and vibrations and thus on the comfort and well-being of all vehicle occupants. Vehicle manufacturers are therefore faced with several conflicting goals. This calls for new approaches in automotive vibration control technology in order to arrive comfortably, relaxed and safely in the electrified and autonomous future.

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