How Moveco can contribute to building the autonomous driving future
The Breakdown
On March 18th, autonomous cars claimed its’ first victim. A 49-year-old woman was hit by Uber’s self-driving car in Tempe, Arizona. She passed away in the hospital moments after. While experts in the autonomous driving industry stated it was inevitable, where car accident is the deadliest accidents in the world, killing 1.25 million people annually. Self-driving cars set out to improve the problem, but nothing is perfect — eventually, accidents happen.
Nevertheless, Elaine Herzberg’s death documented by the car’s dash cam came as a surprise. It captured the moments of the accident when Ms. Herzberg appeared out of nowhere into the road. Even Tempe’s police chief stated, “It’s very clear it would have been difficult to avoid this collision in any kind of mode (autonomous or human-driven) based on how she came from the shadows right into the roadway.”
It is evident that the lack of road experiences or road intelligence had a play in this. The experiences and intelligence such as driving slower on roads with a high chance of jay-walking or unknown crossing, these types of knowledge are accumulated through years of driving and familiarity with the route.
There is no doubt that these accidents are not limited to self-driving cars only, humans are just — if not even more — as likely to be involved in such accidents. Road knowledge is crucial especially driving in unknown neighborhoods, that is riddled with accidents waiting to happen.
How can we help
At Moveco, we aim to collect road data for cities (even where AV aren’t currently being tested). These data can significantly speed up the learning process of autonomous cars and minimize the probability of similar accidents occurring again.
Moveco collects 3 tiers of mobility data, general mobility data, driving behavior data and autonomous driving data. Autonomous cars developers would find the third tier data especially appealing because it gives them access to in-depth data like 3D reconstruction of the surrounding generated by a LiDAR sensor.
LiDAR stands for Light Detection and Ranging — is a remote sensing method used to detect the environment around you. Originally airplanes and helicopters are means of collecting these data. However, to accurately record driving behaviors, it is now more commonly used with autonomous cars, usually found on top of the car.
Moveco incentivize users to collect mobility data in exchange for MOV Tokens and Moveco provides these data to different stakeholders. MOV Tokens can be use in all partnered stores and partnered loyalty programs.
Users will be rewarded based on how they are participating and are not limited to participating in only one way. There will be a limit to how many tokens the user can earn each day and this will be used on the Moveco redemption platform and the Moveco loyalty program which you can learn more about it here, How to earn MOV tokens: Moveco — Driving the future of Mobility.
At Moveco, we aim to speed the learning process along by providing valuable data to developers (especially in cities where AVs are being tested on the road), in turn making the roads safer around the world.
