Scalability Challenges in Autonomous Vehicle-Pedestrian Interaction Explored

Główne pojęcia

The authors explore the scalability challenges of external communication between autonomous vehicles and pedestrians, identifying key issues and proposing high-level design directions to enhance safety and efficiency.

Streszczenie

The content delves into the challenges faced by autonomous vehicles (AVs) in communicating with pedestrians, particularly in complex traffic scenarios. It highlights key scalability issues such as Information Overload, Multi-Lane Safety, and Clarity of Recipients. The study synthesizes information from 54 papers to propose design directions for improved AV-pedestrian interactions.
The review emphasizes the importance of standardizing cues for simplified communication, leveraging adaptive infrastructure-based systems for coordinated communication, and utilizing wearables or smartphones for targeted communication. The research suggests a hybrid approach involving vehicle, infrastructure, and pedestrian loci to address scalability challenges effectively.

Statystyki

"Our work contributes the groundwork and a roadmap for designing simplified, coordinated, and targeted external AV communication."
"Autonomous vehicles may use external interfaces, such as LED light bands, to communicate with pedestrians safely."
"This scoping review synthesises information from 54 papers to identify seven key scalability issues in multi-vehicle and multi-pedestrian environments."

Cytaty

"Our work contributes the groundwork and a roadmap for designing simplified, coordinated, and targeted external AV communication."
"Autonomous vehicles may use external interfaces, such as LED light bands, to communicate with pedestrians safely."
"This scoping review synthesises information from 54 papers to identify seven key scalability issues in multi-vehicle and multi-pedestrian environments."

Kluczowe wnioski z

Scoping Out the Scalability Issues of Autonomous Vehicle-Pedestrian Interaction

by Tram Thi Min... o arxiv.org 03-12-2024

https://arxiv.org/pdf/2403.05727.pdf

Głębsze pytania

How can standardizing cues improve the effectiveness of AV-pedestrian communication?

Standardizing cues in AV-pedestrian communication can significantly enhance effectiveness by reducing cognitive load on pedestrians. When eHMIs use standardized symbols and signals, pedestrians can quickly understand and respond to the messages without needing to decipher unique or unfamiliar displays from different vehicles. This consistency in communication helps create a common language that all road users can easily interpret, leading to safer interactions between AVs and pedestrians. Standardized cues also promote predictability, as pedestrians become accustomed to certain signals and know what actions to take in response.
Moreover, standardization fosters clarity and reduces ambiguity in communication. Pedestrians are more likely to trust and comply with clear, standardized messages compared to varied or complex signals that may cause confusion or misinterpretation. By establishing a set of universally recognized symbols or gestures for specific actions (such as stopping, yielding, or crossing), standardization ensures that the intended message is accurately conveyed across different scenarios and environments.
In addition, standardizing cues facilitates scalability in AV-pedestrian interactions by streamlining the design process for eHMIs. With consistent visual and auditory elements used across various vehicles, infrastructure-based systems, and pedestrian devices, developers can create more efficient and user-friendly interfaces that cater to a wide range of users while maintaining safety standards.

How might wearable AR technologies impact privacy concerns in AV-pedestrian interactions?

Wearable AR technologies have the potential to raise privacy concerns in AV-pedestrian interactions due to their ability to collect personal data such as location information and gaze direction. Unlike traditional smartphone applications that may offer some level of control over data sharing settings, wearable AR devices are worn directly on the body and continuously capture real-time environmental data.
One major privacy concern with wearable AR technologies is the collection of sensitive personal information without explicit consent from individuals interacting with these devices. For example, if an AR device tracks a pedestrian's movements near an autonomous vehicle for navigation purposes, it could inadvertently record private details about their daily routines or destinations visited.
Furthermore, there is a risk of unauthorized access or misuse of collected data from wearable AR devices. If not adequately secured against hacking attempts or unauthorized access by third parties...

What are the potential challenges associated with implementing adaptive infrastructure-based systems?

Implementing adaptive infrastructure-based systems poses several challenges related to cost-effectiveness...