• Session No.31 Intelligent Safety Vehicle I
  • May 22Room G418+G41912:10-14:15
  • Chair: Kazumasa Kato (Magna International Japan)
No. Title・Author (Affiliation)
133

A Study on the Experimental Evaluation of Electric Vehicle Charging Door Heating Module using Composite Material

Gyuho Shim・Jongheon Lee・Cheoljin Park Park・Teawon Kim・Jaegeun Kim (SECO ECOPLASTIC)・Geonhee Cheon (SECO SEOJIN)

In this study, in order to improve the problem of charging doors freezing, multi-walled carbon nanotube (CNT, Carbon Nano Tube) material, a low-power heating element that reduces power consumption by more than 10% compared to existing heating elements, was applied to electric vehicle charging doors to developed an electric vehicle charging door heating module that suppresses current and prevents burns by rapidly increasing resistance. In addition, to evaluate the performance of the developed charging door heating module, an evaluation device was developed and the opening/closing and heating performance according to temperature were evaluated. Through evaluation of the developed heating element, it will be applicable not only to the charging door but also to electric vehicle interior parts such as handles, seat heaters, door trims, and center consoles, which are parts where heating elements can be applied.

134

Development of Mass-Production Technology for Moving Consoles to Create Various Convenience Spaces in Vehicle Interiors

Dongjin Park・Jongheon Lee・Heaju Park (SECO ECOPLASTIC)

In this study, we will deal with the implementation of the operation method of the upper button part of the sliding moving console and the smooth transmission of driving force to the locking device at the bottom of the console, which is configured far from the button control panel. The sliding console configuration is a button that unlocks the rail locking, and the control is located on top of the console to increase the visibility and operability of the vehicle occupants.
The part of the lever that slids the console is located at the bottom of the console, so the distance between the rail control panel and the rail unit is large. The embodiment for smooth operation may vary depending on the configuration of the knob, its internal structure and the method of operation.

135

Type-Approval Requirements for ADS in Europe

Andrés Aranda Martínez・Carlos Lujan Tutusaus・Oriol Flix Viñas (Applus+ IDIADA)

Safe introduction of automated driving is one of the main challenges that the automotive industry has ever faced. Not only because of the technology involved, also because of new validation methods that need to be defined to cover a whole new reality.
This validation is not limited to the procedures of the manufacturers to provide a safe product, also to the official type-approval. Type-approval procedure is not just a technical evaluation, it requires legal considerations. Thus, special attention shall be made to such evaluation, to guarantee transparency and a clear ruleset for the stakeholders taking part in the process.

136

Scenario Categories for Autonomous Baggage Transport at Amsterdam Schiphol Airport
-A Practical Implementation of TNO's StreetWise Scenario-Based Methodology-

Olaf Op Den Camp・Erwin De Gelder・Abhiskek Kalose・Saarang Gaggar (TNO)

According to recent regulations, manufacturers of Autonomous Vehicles (AVs) have to assure the safety of their AVs, before the vehicle authorities can allow the deployment of such vehicles onto the road. UNECE WP29 proposes a scenario-based safety assurance framework to guide this process. TNO StreetWise approach for identifying and characterizing scenarios to get a structured and statistically well-founded view on traffic and behaviour of road users, is fully in line with this framework. This paper shows how StreetWise is also used for a rigorous safety assessment of Autonomous Baggage Transport between aircraft stands and baggage handling area at Schiphol Airport.

137

Visualization of Scenario-Based Risk Quantification of Automated Driving Systems

Erwin De Gelder・Olaf Op Den Camp・Sytze Kalisvaart (TNO)・Hannes Schneider (AVL)

Before the introduction and deployment of an automated driving system, it is important to ensure that safety has not been compromised. A data-driven, scenario-based assessment is widely supported as a constituent for determining that the risk is acceptable. This work shows how visualization can help to identify what parts of the scenario space contributes most to the overall risk, where risk is a combination of exposure and severity. We also illustrate how to quantify the confidence in the estimated risk. This work helps developers to identify how to improve their system to improve its safety.

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