From accelerated advertising to Fanboost: mediatized motorsport

Finn, Mark

doi:10.1080/17430437.2019.1710131

Cited by 10 publications

(6 citation statements)

References 65 publications

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“…Of late, the number of research outputs investigating Formula E has therefore rapidly increased. These roughly divide into media explorations (Robeers, 2019;Robeers & Van den Bulck, 2018), human-digital interactions (Finn, 2020;Jarvenpaa & Standaert, 2017), event studies (Sturm, 2019) and studies of Formula E's commercial ramifications (Naess, 2020). However, its innovation history is unexplored territory.…”

Section: The Entry Of Formula E Into the World Of Motorsportsmentioning

confidence: 99%

The Case of Formula E

Næss

Tjønndal

2021

Innovation, Sustainability and Management in Motorsports

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Calls for research and practices with regard to sport management innovation are plenty. In this chapter we introduce why the electric racing world championship Formula E can be a relevant case study for a model of sport management innovation. Besides introducing our fivefold perspective on innovation (organizational, technological, commercial, social and community-based), the basics of Formula E and our approach to theoretical modelling, the chapter explains how the rest of the book is structured.

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Section: The Entry Of Formula E Into the World Of Motorsportsmentioning

confidence: 99%

The Case of Formula E

Næss

Tjønndal

2021

Innovation, Sustainability and Management in Motorsports

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“…Motorsport racing has proven to enable knowledge transfer of cutting-edge research to the automotive industry [1,2,3]. In particular, autonomous racing presents a new frontier that promises to revolutionize autonomous driving by enabling and stress-testing new technologies and algorithms in the field of Self Driving Cars (SDC) [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing

Becker

Nadine

Luca

et al. 2023

2023 IEEE International Conference on Robotics and Automation (ICRA)

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Autonomous racing is a research field gaining large popularity, as it pushes autonomous driving algorithms to their limits and serves as a catalyst for general autonomous driving. For scaled autonomous racing platforms, the computational constraint and complexity often limit the use of Model Predictive Control (MPC). As a consequence, geometric controllers are the most frequently deployed controllers. They prove to be performant while yielding implementation and operational simplicity. Yet, they inherently lack the incorporation of model dynamics, thus limiting the race car to a velocity domain where tire slip can be neglected. This paper presents Model-and Acceleration-based Pursuit (MAP) a high-performance modelbased trajectory tracking controller that preserves the simplicity of geometric approaches while leveraging tire dynamics. The proposed algorithm allows accurate tracking of a trajectory at unprecedented velocities compared to State-of-the-Art (SotA) geometric controllers. The MAP controller is experimentally validated and outperforms the reference geometric controller four-fold in terms of lateral tracking error, yielding a tracking error of 0.055 m at tested speeds up to 11 m/s on a scaled racecar. Code: https://github.com/ETH-PBL/MAP-Controller.

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“…Automotive sports, particularly motor sports, are hence leisure activities that are frequently engaged in. Motorsports are those that involve racing and non-racing competitions with a high risk of injury (Dolles et al, 2018;Finn, 2021). In general, sporting events are used to promote local and regional economic growth.…”

Section: Introductionmentioning

confidence: 99%

Optimism and causal analysis in adventure motorcycling: An investigation of athletes’ resilience

2023

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Resilience in motorcycle adventure activities in each individual requires resilience to face challenges. However, this motorcycle activity has many failures and problems that usually bring up emotions. The purpose of this research was to examine the resilience of community members participating in motor adventure activities. Mixed-methods research was used, with a sequential explanatory research basic design. This study began with quantitative methods and proceeded to qualitative methods. A questionnaire was used to collect quantitative data, while an interview was used to acquire qualitative data. The accumulated interpretation of scores obtained on emotion regulation was 75% (high), impulse control 82% (very high), optimism 84% (very high), causal analysis 82% (very high), empathy 71% (high), self-efficacy 78% (high), and reaching out 87% (very high). This research is limited to the sample used and the scope of research is limited to one area or community. Future research can broaden the scope of research by exploring the factors that influence the resilience of different motorcycle adventure actors, such as psychological, social, and environmental factors. In addition, research can be focused on efforts to increase the resilience of motorcycle adventure actors, such as through training or education programs. The results of this study provide consideration, support, and contribution of ideas to stakeholders to increase the resilience of adventure motorcycle actors in facing challenges in their activities.

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From accelerated advertising to Fanboost: mediatized motorsport

Cited by 10 publications

References 65 publications

The Case of Formula E

The Case of Formula E

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing

Optimism and causal analysis in adventure motorcycling: An investigation of athletes’ resilience

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