International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 8, Issue 6, June 2019, ISSN: 2278 – 1323 All Rights Reserved © 2019 IJARCET 231 Abstract— The driving is art, elegance and ethics. The human acts as the key element in this process and the weakest link in the same time, where 90% of traffic accidents are caused by human error and carelessness. Every year many accidents are reported due to high speed and wrong decision. A logical principle is that each 1% increase in velocity will result in a 4% potential increase in the risk of the fatal collision and an actual increase of 3% in the risk of a serious collision. Modern day cars represent a symbiosis of several electronic subsystems that collaboratively give a safe and sound driving experience. One of the car development technologies takes the form of the Advanced Driver Assistant System development (ADAS). It is a system that necessary to monitor various parameters associated with the vehicle, vehicle surroundings to detect potentially dangerous situations at an early stage. Sensors with sophisticated devices, which are known as Sensor Network (SN), were included already in many cars nowadays to achieve (ADAS) technologies. A well-known ADAS is an Adaptive Speed Control system (ASC), Automatic Brake System (ABS), Warning Collision System (WCS) and Legal Restriction System to avoid high-speed dangerous. In addition, Lane Keeping System (LKS) and Lane Change System (LCS). Index Terms— Advanced Driver Assistant System development, (ADAS), Car safety, Car sensors technologies. I. INTRODUCTION Automotive companies are continuously improving vehicle safety, whereas safety systems developed in vehicles can be divided into two categories: passive safety systems and active safety systems. The passive safety system reduces the injuries sustained by passengers when an accident occurs. For example, airbags and seatbelts have saved thousands of lives and became a milestone in the automotive industry. Active safety systems refer to systems that try to keep a vehicle under control and avoid accidents [1]. In this work, the active safety systems have been proposed and implemented. It is expected that active safety systems will play an increasing role in collision avoidance in the future. Each application supported by ADAS requires its private sensor(s); therefore adding new applications will require more sensors. Manuscript received May, 2019. Bassim Abdulbaqi Jumaa, Computer Engineering Department, University of Technology, Baghdad,, Iraq (e-mail: basim_alani@yahoo.com). Anwaar Mousa Abdulhassan, Computer Engineering Department, University of Technology, Baghdad,, Iraq (e-mail: anwaarmousa@yahoo.com). Ammar Mousa Abdulhassan, Electric Power and Electrical Engineering Department, Tambov State Technical University, Tambov, Russia (e-mail: amar.alshmaly@yahoo.com). Different sensors have different observation capabilities and various detection properties. Many vehicle manufacturers and automobile device companies have attempted as shown in Fig.1. For example, laser-based approach, radar-based approach or vision sensing to develop speed control systems to maintain a vehicle safe distance, which represents one of ADAS functions [2], [3]. In critical driving situations, this system warns and actively supports the driver and, if necessary, intervenes automatically in an effort to avoid a collision [1], [4]. Fig.1. Current technologies for Assisted Driving [2]. II. SELF-DRIVING (AUTOMATION)LEVELS Given that the vast majority of accidents can be attributed to human error, taking the driver out of the loop may reduce or even eliminate driver error, which in turn, may lead to safer roads. Maturation, integration and affordability of enabling technologies have turned self-driving cars from science fiction into reality.Google’s self-driving car famously has been clocking up thousands of accident-free miles and several countries are now preparing themselves to adapt laws permitting self-driving cars on public roads [5]. Automated vehicle technologies have a range of capabilities, from anti-lock brakes and forward collision warning, to adaptive cruise control and lane keeping, to fully automated driving [5]. Following the Society for Automotive Engineers taxonomy (SAE, 2018), Five levels of vehicle automation have been defined as below [6]: Based on the capabilities of ADAS, already in use or implementation, the automated vehicles in general and particularly the most popular concept of automated driving become not just a vision of a remote future – rather closed systems like metros and similar rail systems, and air traffic. The levels of automated driving are shown in Fig.2 [7]. Advanced Driver Assistance System (ADAS): A Review of Systems and Technologies Dr. Bassim Abdulbaqi Jumaa , Anwaar Mousa Abdulhassan, Ammar Mousa Abdulhassan