Till sidans topp

Sidansvarig: Webbredaktion
Sidan uppdaterades: 2012-09-11 15:12

Tipsa en vän
Utskriftsversion

The Best Rated Human-Mach… - Göteborgs universitet Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

The Best Rated Human-Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge

Artikel i vetenskaplig tidskrift
Författare Ola Benderius
Christian Berger
Victor Malmsten Lundgren
Publicerad i IEEE Transactions on Intelligent Transportation Systems
Volym 19
Nummer/häfte 4
ISSN 1524-9050
Publiceringsår 2017
Publicerad vid Institutionen för data- och informationsteknik, Software Engineering (GU)
Språk en
Länkar https://doi.org/10.1109/TITS.2017.2...
Ämnesord Autonomous vehicles, autonomous vehicles, Bars, external interface., Human-machine interface, Legislation, Roads, Safety, Wheels
Ämneskategorier Datorseende och robotik (autonoma system)

Sammanfattning

This paper provides an in-depth description of the best rated human-machine interface that was presented during the 2016 Grand Cooperative Driving Challenge. It was demonstrated by the Chalmers Truck Team as the envisioned interface to their open source software framework OpenDLV, which is used to power Chalmers' fleet of self-driving vehicles. The design originates from the postulate that the vehicle is fully autonomous to handle even complex traffic scenarios. Thus, by including external and internal interfaces, and introducing a show, don't tell principle, it aims at fulfilling the needs of the vehicle occupants as well as other participants in the traffic environment. The design also attempts to comply with, and slightly extend, the current traffic rules and legislation for the purpose of being realistic for full-scale implementation.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?