Communicating Intent in Autonomous Vehicles

abstract: The prospects of commercially available autonomous vehicles are surely tantalizing, however the implementation of these vehicles and their strain on the social dynamics between motorists and pedestrians remains unknown. Questions concerning how autonomous vehicles will communicate safety and intent to pedestrians remain largely unanswered. This study examines the efficacy of various proposed technologies for bridging the communication gap between self-driving cars and pedestrians. Displays utilizing words like “safe” and “danger” seem to be effective in communicating with pedestrians and other road users. Future research should attempt to study different external notification interfaces in real-life settings to more accurately gauge pedestrian responses.Dissertation/ThesisMasters Thesis Engineering 201

Is Silent External Human–Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field

Autonomous personal mobility vehicle (APMV) is a miniaturized autonomous vehicle designed for short-distance mobility to everyone. Due to its open design, APMV’s passengers are exposed to communications between the external human-machine interface (eHMI) on APMV and pedestrians. Therefore, effective eHMI designs for APMV need to consider potential impacts of APMV-pedestrian interactions on passengers’ subjective feelings. This study from the perspective of APMV passengers discussed three eHMI designs: (1) graphical user interface (GUI)-based eHMI with text message (eHMI-T), (2) multimodal user interface (MUI)-based eHMI with neutral voice (eHMI-NV), and (3) MUI-based eHMI with affective voice (eHMI-AV). In a riding field experiment (N = 24), eHMI-T made passengers feel awkward during the “silent time” when eHMI-T conveyed information exclusively to pedestrians, not passengers. MUI-based eHMIs with voice cues showed advantages, with eHMI-NV excelling in pragmatic quality and eHMI-AV in hedonic quality. Considering passengers’ personalities and genders in APMV eHMI design is also highlighted

Is Silent External Human–Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field

Density functional quantum mechanical research yield a comprehensive theoretical approach on the selected organic molecule of 9,9-dihydroxynanoic acid. The DFT approach is implemented to optimise the molecular structure. The geometrical parameters of molecule were calculated. The vibrational spectrum studies were done with FT-IR and FT-Raman and their results were investigated. VEDA software is utilised to simulate PED for the basic vibrational frequencies in order to find all the vibration modes. UV–Vis analysis is performed for the gaseous phase and on solvent phases such as water, ethanol, ethyl ethanoate, acetone, and DMSO by TD-DFT-B3LYP with 6-311++G (d,p), and band gap energies are calculated. FMO investigations reported analysing the compound energy gap, softness, hardness, and electrophilicity index in gaseous phase along with a variety solvent phase. To further understand the molecule\u27s reactive areas, Mulliken atomic charge evaluation, Fukui functions, and dual descriptors were conceptually investigated. The electro static MEP map of the compound in distinct solvent phases is provided in order to comprehend the molecular shape, size, and reactive region. The molecule\u27s hyperpolarizability is observed to be 201.8 a.u for gas, 146.6 a.u for acetone, 138.9 a.u for DMSO, 136.3 a.u for water, and 169.8 a.u for ethyl ethanoate, will supports the molecule is good NLO material. The donor acceptor interaction has been explored so as to explain the intramolecular hyper conjugative interaction and stability. To understand the topology Multiwfn analysis like ELF, LOL and ALIE were done. The E.coli proteins are downloaded from the PDB database and fictitiously docked with our selected ligand molecule using Auto Dock software to determine hydrogen bonding and binding energy

Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field

Autonomous personal mobility vehicle (APMV) is a miniaturized autonomous vehicle that is used in pedestrian-rich environments. In addition, the open bodywork design of APMVs exposes passengers to the communication between the eHMI deployed on APMVs and pedestrians. Therefore, to ensure an optimal passenger experience, eHMI designs for APMVs must consider the potential impact of APMV-pedestrian communications on passengers' psychological feelings. This study discussed three external human-machine interface (eHMI) designs, i.e., eHMI with text message (eHMI-T), eHMI with neutral voice (eHMI-NV) and eHMI with affective voice (eHMI-AV), from the perspective of APMV passengers in the communication between APMV and pedestrians. In the riding experiment, we found that eHMI-T may be less suitable for APMVs. This conclusion was drawn based on passengers' feedback, as they expressed feeling awkward during the ``silent period'' because the eHMI-T conveyed information only to pedestrians but not to passengers. Additionally, the affective voice cues on eHMI improved overall user experience of passengers, leading to higher ratings for both pragmatic and hedonic quality. The study also highlights the necessity of considering passengers' personalities when designing eHMI for APMVs to enhance their experience

Understanding interactions between autonomous vehicles and other road users: A literature review

This review draws on literature relating to the interactions of vehicles with other vehicles, interactions between vehicles and infrastructure, and interactions between autonomous vehicles and cyclists and autonomous vehicles and pedestrians. The available literature relating to autonomous vehicles interactions is currently limited and hence the review has considered issues which will be relevant to autonomous vehicles from reading and evaluating a broader but still relevant literature.The project is concerned primarily with autonomous vehicles within the urban environment and hence the greatest consideration has been given to interactions on typical urban roads, with specific consideration also being given to shared space. The central questions in relation to autonomous vehicles and other road users revolve around gap acceptance, overtaking behaviour, behaviour at road narrowings, the ability to detect and avoid cyclists taking paths through a junction which conflict with the autonomous vehicle’s path, and the ability of autonomous vehicles to sense and respond to human gestures. A long list of potential research questions has been developed, many of which are not realistically answerable by the Venturer project. However, the important research questions which might potentially be answered by the current project are offered as the basis for the more detailed consideration of the conduct of the interaction trial