Just a couple of years into the 2010s, several automobile companies were already busy developing their driverless-car technology, predicting that these autonomous vehicles will be deployed in the market very soon. Most of these plans have, one way or another, been stalled.
The pushing back of this technology was the result of manufactures believing the market might not be ready to shell out a minimum of $10,000 over the normal price of a car. Sure, it’s novel and comes with a set of benefits, but the car industry is not sure people will cater to it quickly.
More importantly, rolling out the technology is not as simple as it seems. It’s not like companies are just going to install sensors and the like to their cars; self-driving cars require lots of new technologies to synchronize, from 3D cameras called Lidar to radars that can detect objects and velocities. The challenge is to find ways to have these deployed in upcoming cars while remaining cost-efficient.
A huge leap in A.I. technology and IoT or the internet of things must happen for these cars to truly be able to predict human behavior and communicate with people and objects seamlessly. After all, safety is a key concern that will make or break this expected car trend.
Nevertheless, once self-driving cars do hit the road, they would provide much help to PWDs, aid in accident mitigation, and offer more efficient travel. Do note that these cars will of course hit the big cities and suburbs of developed countries first, and it will take a while before infrastructure will be set up globally to accommodate these intelligent vehicles.
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