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Accident warning and collision avoidance systems
| Content Provider | Scilit |
|---|---|
| Author | Jha, Pooja |
| Copyright Year | 2021 |
| Description | Book Name: Vehicular Communications for Smart Cars |
| Abstract | During the last three decades, increasing research efforts, both in academia and in industry, have been made toward developing driverless vehicle technology. These developments have been fueled by recent advances in sensing and computing technology, along with the potential transformative impact on automotive transportation and perceived societal benefits. Self-driving vehicles are an advancing technology with the potential to reshape mobility by enhancing the safety, accessibility, efficiency, and convenience of automotive transportation. Safety-critical tasks that a self-driving vehicle must execute include navigating a dynamic environment, shared with other vehicles and pedestrians, using robust executions via feedback control. A century after the invention of automobiles, land transportation remains the most dangerous way to travel and move goods. Since the first vehicle was built, many improvements have been made. Vehicles have more powerful and efficient engines, better dynamics, more controllability, and greater stability on the road. However, the total number of auto-related fatalities remains high. Even though cars have become safer and easier to control, they require more attention from the driver. Heavy traffic, high speeds, and fast maneuvers require drivers to fully concentrate and react quickly. Natural human abilities pose the greatest limit, not always allowing drivers to act fast and take urgent actions when needed. Recent improvements to vehicles show how driver assistance enhances humans’ driving abilities. The next level of improvement needed is a driving advising system that evaluates the driver and the environment, taking control of the car when needed or even performing fully autonomous driving. According to some optimistic predictions, fully autonomous cars may reduce the total number of accidents by 90 percent and lead to enormous economic advances in the car industry, pushing leaders of the industry to develop and introduce an autonomous car. However, developing such vehicles is a complex task that requires solving many challenges. The first challenge is localization and mapping: it is hard to determine the exact location of the vehicle on the road. Road work changes maps and make can make them irrelevant. The second challenge is sensing. This is a very large topic related to computer vision and object recognition from the sensor's data. The third challenge is related to control of the autonomous vehicle, and especially cooperation from human drivers. This chapter begins with a brief introduction on autonomous vehicles and their features, advantages, and disadvantages. It also discusses cases where autonomous vehicles have failed. Further, it briefly covers some algorithms related to accident avoidance in autonomous vehicles. For example, a control algorithm for autonomous cars that allows them to perform autonomously safely is discussed. Additionally, this chapter elaborates on some areas of ongoing research, such as the lack of human-inspired design, lack of efficient communication protocols, and lack of proper agent-based modeling. |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781315110905-2&type=chapterpdf |
| Ending Page | 38 |
| Page Count | 20 |
| Starting Page | 19 |
| DOI | 10.1201/9781315110905-2 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-12-03 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Vehicular Communications for Smart Cars Pedestrians Autonomous Cars Efficient Safety Modeling Driver Vehicles Driving |
| Content Type | Text |
| Resource Type | Chapter |
