Electric Bike Review
Printable View
https://youtu.be/FD2lt6w77DE
Smart bike concept
Published on Feb 28, 2017
https://youtu.be/VjSs6KCLTC0
Unmanned bicycle equipped with Tianjic chip
Uploaded on Jul 25, 2019
"Look ma, no hands"Quote:
Unmanned bicycle equipped with Tianjic chip for real-time object detection, tracking, voice recognition, obstacle avoidance, and balance control
Chinese chip creates a bicycle that responds to commands and can look after itself. Nick Carne reports.
August 1, 2019
"Watch China’s New Hybrid AI Chip Power an Autonomous Bike"
by Shelly Fan
August 7, 2019
Article "Beijing‘s Hardcore Vlogger Comes Up With Self-driving Bicycles"
On April Fool's Day in 2016, Google secretly uploaded a video of an autonomous bicycle roaming through the busy streets. Two days after the post went viral, Google clarified that it was actually the result of superb video editing. Five years later, Zhi Hui Jun, a vlogger from Beijing with more than 800,000 fans, spent four months (mainly on weekends) making the joke into a reality.
June 9, 2021
https://youtu.be/czOciHFRDk4
"Baby, You Can Ride My Bike": Maneuver Indications of Self-Driving Bicycles Using a Tandem Simulator
Nov 17, 2022
Quote:
Andrii Matviienko, Damir Mehmedovic, Florian Müller, Max Mühlhäuser
ABSTRACT - We envision a future where self-driving bicycles can take us to our destinations. This allows cyclists to use their time on the bike efficiently for work or relaxation without having to focus their attention on traffic. In the related field of self-driving cars, research has shown that communicating the planned route to passengers plays an important role in building trust in automation and situational awareness. For self-driving bicycles, this information transfer will be even more important, as riders will need to actively compensate for the movement of a self-driving bicycle to maintain balance. In this paper, we investigate maneuver indications for self-driving bicycles: (1) ambient light in a helmet, (2) head-up display indications, (3) speech feedback, (4) vibration on the handlebar, and (5) no assistance. To evaluate these indications, we conducted an outdoor experiment (N = 25) in a proposed tandem simulator consisting of a tandem bicycle with a steering and braking control on the back seat and a rider in full control of it. Our results indicate that riders respond faster to visual cues and focus comparably on the reading task while riding with and without maneuver indications. Additionally, we found that the tandem simulator is realistic, safe, and creates an awareness of a human cyclist controlling the tandem.
Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue MHCI, September 2022 Article No.: 188, pp 1–21
https://doi.org/10.1145/3546723
https://dl.acm.org/doi/10.1145/3546723