Main components of a full autonomous self-driving vehicle

google-self-driving-car-test-with-no-passengerWhat is the definition of a self-driving vehicle at the time we’re writing (October 2016)? Well, let’s say a vehicle equipped with sensors, radars, cameras, computers and communicators which allows them to steer its way on roads and through traffic with very little human help. Clearly these self-driving cars still have the usual auto components like the Mercedes radiator. The several components that will serve as the replacement for the motorist are the parts which are included like, as previously mentioned, the detectors. These detectors are placed on the several important portions of the automobile to be able to monitor the motions of the vehicle. Many vehicles of today are already fitted with detectors for various purposes, some to control what the vehicle is doing when the wheels turn and another computer screens the movements of the wheels.

You can find also brake detectors that time the spin of every wheel and detector on the airbags that will trigger the airbags if and once an impact happens. Not only are these detectors fitted to observe over the behavior of the vehicle and how systems work or respond with another, the detectors are also there to monitor the activities and behavior of the motorist as well. It reports the driving style used by the motorist like the hardness of pressing upon the gas pedal and the way of turning the wheel. The radars are made to monitor the outside movements.

google-self-driving-car-lidarBack-up applications are the best known and most typical of those component. Those are the ones that are felt if the vehicle is getting dangerously close to colliding with some other vehicles or to individuals. There’s also the active cruise control that enables the motorist to set a maximum speed for the vehicle and maintain distances from the other cars. Even though almost all these cruise control systems are made on highway speed style, Continental Tevis has really designed a system for the Mercedes Benz S Class which will work to slow speed style and even put the vehicle to a stop.uber-sensor-self-driving-cargoogle-self-driving-car-ultrasonic-sensor

So if the traffic situation is shifty, there’s no need to push the brake pedal, the vehicle will be capable to stop and go for you. This system of the Mercedes Benz S Class may lessen usual crashes of tailgating. The Mercedes Benz S Class line additionally uses infrared camera and infrared source of light for much better night vision. The actual road condition may be displayed in green and black on a track on the dash. These cameras will monitor whether the car begins to go beyond the limits of the lane that it occupies.


There is little doubt that self-driving vehicles are the next big thing. Where are we regarding new self-driving vehicle technology? Is there any affordable self-driving car currently accessible? Here is a fast overview of what out there right now. If you’d like evidence that electric vehicles can be fast and fun take a look at the Tesla S with autopilot feature. It’s an “almost self-driving car”. Why “almost? Well, it still needs the driver, but for short commands, the rest is done in autopilot.
Believe it or not, but Chrysler as well is working on new self-driving vehicle technology. They plan to produce a Self-Driving  Dodge in 3 or 4 years- if the company’s still around 🙂 of course. This one can be a flashy sports self-driving vehicle.

What is going to happen in the next 2 years is that individuals are not waiting for mainstream self-driving vehicles to be made for them. Instead, they will start making their very own self-driving vehicles. What is needed to transform let’s say an electric car or an hybrid into a full autonomous self-driving? Well we will list you the required kit right now, but for the details, you should wait for the next

All it requires is an effective sensor, which uses different techniques like GPS navigation, radar, lidar, computer vision or odometry, coupled with the sophisticated control system that gather and interpret sensory information to locate the most appropriate navigation path to take the passengers to their destination.