Self-driving cars are a recent innovation brought about by several organizations which follows a model of an autonomous system without or with very limited human intervention. Such a vehicle guided by autonomous systems with very less human conduction has made way for reduced human effort and more control through computers. Such an innovation should prove to be useful for the upcoming future generations. But is it at all useful or implementable?
Self-driving cars have several issues. One of them is failing to recognize stationary vehicles in their direction of motion. Self-Driving cars create a picture of the road they are travelling in that is stored in their database via computer programs already defined and imbibed within their guided systems. However, on the road, there is absolutely no certainty that everything would go as planned and defined in the database of the self-driving cars. This major problem faced by such autonomous vehicles is mainly because most of the time the stationary vehicles are parked on a curb or a tad bit outside the emergency road line. A self-driving car expects that no vehicles would be parked within the emergency road line and keeps continuing on its pre-defined path without understanding the hindrance ahead. Such situations create accidents.
Accidents with another vehicle parked at a location are still of moderate damage with no loss of life. However such autonomous guided vehicles are also unable to detect stationary humans standing in the middle of the road and hence might cause a massive loss to life. Self-Driving cars with absolutely no human intervention is still a far-fetched idea because roads and the vehicles on them do not travel via pre-defined data stored in the vehicle’s systems.
Driving on the road requires extreme caution and immediate reaction to several changing circumstances over any period of time. Self-Driving cars are still unable to detect such decisional or circumstantial changes that are required while driving.