Artificial intelligence is impacting the future of virtually every industry. AI has become the main driver of emerging technologies like big data, robotics and IoT, and it will continue to act as a technological innovator for the foreseeable future. The automotive industry is also not far behind in the AI technology advancement. 

There are endless possibilities of what AI could do in the Automotive Industry. For example, the AI function models can be trained with the traffic and vehicle data like which way the driver is looking as he operates the vehicle, how fast he’s driving, where he’s driving, locations of the people around him. Modeling this datas can prevent accidents and increase efficiency. 

Taking AI to new heights, Kawasaki Heavy Industries, Ltd. announced, on November 23rd 2020, that proof-of-concepts tests have commenced for a new rider support system which they branded as “Rideology” . Kawasaki aims to develop machines that become one with their rider, capable of growing and evolving in all situations. According to Kawasaki, all the tests and feedback of the system are complete. The internal verification has advanced to the final stage and tests are being done on public roads to check the system’s practicality in Japan. 

Kawasaki says that the new rider support system, Rideology, which utilizes current advances in AI technologies, will become an intermediary for various two-way communication between the rider and motorcycle. This will enable the rider to communicate, interact and share information, with the aim of increasing safety and rider comfort. This could involve flagging up technical problems on the bike and improving performances. 

The main functions and services included in the system are listed below.

Rider-Machine Voice Interaction

The rider can ask for and receive information from the motorcycle simply by speaking. The system will then analyze this input  and search for the relevant information via the internet and then respond verbally. For example, useful riding information, like how much fuel is left, how far is the next fuel pump or simply the weather condition at the destination.

Visual Ride Playback

Riding logs that have been previously shown with just numbers and graphs on smartphones, can now be shown visually with 3D models. Motion graphics showing speed and lean angle with the combination of route maps will allow the rider to relive their trip as they play back their ride.

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