Students: Panos P George Pet
Class: Α3 - Grade: A - School: 1st Arsakeio Senior High School of Psychico
Course: IT Applications
School year 2022-2023
Objective
The purpose of this site is for readers to get the general idea of A.I (Artificial Inteligence ) and how in the foreseeable future it has and will affect our lives. This particular page covers autodriving cars that in the near future will transport us.
What is a self driving car
A self-driving car, also known as an autonomous car, driver-less car, or robotic car (robo-car), is a car that is capable of traveling without human input . Self-driving cars use sensors to perceive their surroundings, such as optical and thermographic cameras, radar, lidar, ultrasound/sonar, GPS, odometry and inertial measurement units. Control systems interpret sensory information to create a three-dimensional model of the surroundings. Based on the model, the car identifies appropriate navigation paths, and strategies for managing traffic controls (stop signs, etc.) and obstacles.
Image 1: Inside a Autodriving Car
As of December 2022, vehicles operating at Level 3 and above were an insignificant market factor. In December 2020, Waymo became the first service provider to offer driver-less taxi rides to the general public, in a part of Phoenix, Arizona. In March 2021, Honda was the first manufacturer to sell a legally approved Level 3 car Nuro began autonomous commercial delivery operations in California in 2021.] In December 2021, Mercedes-Benz received approval for a Level 3 car.] In February 2022, Cruise became the second service provider to offer driver-less taxi rides to the general public, in San Francisco.
Different functions of a self driving car
Sensing
To reliably and safely operate an autonomous vehicle, usually a mixture of sensors is utilized Typical sensors include lidar (Light Detection and Ranging), stereo vision, GPS and IMU. Modern self-driving cars generally use Bayesian simultaneous localization and mapping (SLAM) algorithms, which fuse data from multiple sensors and an off-line map into current location estimates and map updates. Waymo has developed a variant of SLAM with detection and tracking of other moving objects (DATMO), which also handles obstacles such as cars and pedestrians. Simpler systems may use roadside real-time locating system (RTLS) technologies to aid localization.
Image 2 : Mercedes Vision
Sensor fusion
Control systems on automated cars may use sensor fusion, which is an approach that integrates information from a variety of sensors on the car to produce a more consistent, accurate, and useful view of the environment Self-driving cars tend to use a combination of cameras, LiDAR sensors, and radar sensors in order to enhance performance and ensure the safety of the passenger and other drivers on the road. An increased consistency in self-driving performance prevents accidents that may occur because of one faulty sensor.
Maps
Self-driving cars require a new class of high-definition maps (HD maps) that represent the world at up to two orders of magnitude more detail.] In May 2018, researchers from the Massachusetts Institute of Technology (MIT) announced that they had built an automated car that can navigate unmapped roads. Researchers at their Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new system, called MapLite, which allows self-driving cars to drive on roads that they have never been on before, without using 3D maps. The system combines the GPS position of the vehicle, a "sparse topological map" such as OpenStreetMap (i.e. having 2D features of the roads only), and a series of sensors that observe the road conditions
Image 3 : Visual Car
Drive by wire
Drive by wire technology in the automotive industry is the use of electrical or electro-mechanical systems for performing vehicle functions traditionally achieved by mechanical linkages.
List of Images
Image 1: http://bit.ly/40Cyn3l
Image 2: http://bit.ly/3K5cDpH
Image 3: http://bit.ly/3KamJW6