techno.rentetan.com – Bikes have been long a greener (and cheaper) alternative to cars, if you actually know how to drive, but this requirement is met by a talented Chinese engineer with a smart enough self-balancing electric bike to wind around a city.
In his current form, the bike cries “search project” and a servo powered system used to turn the front wheel is equipped with electrical engines and flywheels mounted under his seat. It’s not nice, but watching it in action simultaneously is fascinating because our brains know everything about motors tells us that it should be impossible to see you roll down the road without a rider. What’s more impressive is that the improved capabilities of the motorcycle originate from a single hardware engineer named Zhi Hui Jun.
The self-equilibration action is achieved through a heavy metal wheel, with a perpendicular mounting, which can change rapidly the direction of its spin to create an angular momentum that prevents the bike from succeeding gravity forces immediately and from overthrowing. It is controlled by an accelerometer and gyroscope sensor that detects the movement of the bike and thus the bike appears to be rock firm when self-balancing, because the constantly small adjustments are almost imperceptible.
The mechanism should work whether there’s or not a rider on the seat, but while keeping the bike up to a standstill, it can require some added momentum to get your tricks balance with someone on board that adds a lot of high-heavy weight. The rite for learning to ride a bike as a child could very well have been one day no longer, which would also make cycling accessible to riders of any level of ability.
There is also another interesting application for this design, which is already obvious to anyone living in a big city and who has to dodge bicycle messengers who skilfully weave the traffic in and out of congested goods quickly. Zhi Hui Jun has also included an RGB depth sensor and a LIDAR sensor as part of the upgrade, which enables it to not only ride by itself, but intelligently prevent obstacles and navigate traffic.
The cars used by services like Uber Eats for smaller orders could be replaced easily, and heavy roads or closed roads would potentially never be delayed. It could pile-up and even use shortcuts that cars can never reduce delivery times — while reducing emissions.