nouto

Background Progression of technology of automated vehicle is dramatically fast. In San Francisco, some companies have started their driverless taxi services. In the near future, automated vehicles will run around the city. However, as most research pointed out, the issue, “How we can communicate with driverless cars” remains. The communication hardware, nouto, can detect road users by AI camera, and shows appropriate messages and icons depending on the situations, instead of driver. For example, automated vehicle shows “I will stop” and “Please cross” when detect pedestrian in front. This solution contributes to reduce unsafe and inefficient communication cases. How it works? (e.g., communication with pedestrian) 1. Attach hardware (includes camera and display) on automated vehicle. 2. Running automated vehicle detects pedestrian at crosswalk. 3. Automated vehicle shows message (e.g., I will stop), and integrated sensor stops the running. 4. Yield crossing. 5. After crossing, automated vehicle starts running again. Function - Detection of pedestrian and vehicle by AI. - Showing message or icon on display. Customization Options - Adjust AI model to the objects you wants to detect. ($8,000-24,000 and deliver in 1-3 month) - Timing of showing message or icon on display. ($4,000 and deliver in 0.5 month) - Use sound and light instead of messages. ($8,000 and deliver in 1 month) - We adjust your various needs at an affordable price, feel free to ask. ($8,000-16,000 per engineer month) Service process 1. Interview, 2. Define requirements, 3. Quote, 4. Initial setup, 5. Servise In short, we can start our service in 1 month from the interview. Publications (system based on member’s following academic research) - Taima, M., & Daimon, T. (2023). Unsafe and inefficient communication between automated buses and road users on public roads in Japan. IEEE 1st International Conference on Advanced Innovations in Smart Cities. - Taima, M., & Daimon, T. (2023). Differences in pedestrian behavior at crosswalk between communicating with conventional vehicle and automated vehicle in real traffic environment. Safety, Vol.9, No.1:2. - Daimon, T., Taima, M., & Kitazaki, S. (2022). Pedestrian Carelessness toward Traffic Environment Due to External Human–Machine Interfaces of Automated Vehicles. Journal of Traffic and Logistics Engineering, Vol.9, No.2, in press.