Ayesha Iqbal
Engineering Trainer at Manufacturing Technology Centre (MTC), United Kingdom
Engineering Trainer at Manufacturing Technology Centre (MTC), United Kingdom
This chapter illustrates the history and recent advancements in the field of Autonomous Vehicles with regard to two important concerns that play the most vital role in successful implementation and working of an Autonomous Car: (1) Obstacle Detection and (2) Track Detection. The car should be able to detect the obstacles for smooth and efficient working in order to avoid accident and collision. It should also be able to calculate the distance of the obstacle from the car. Similarly, Track Detection is also important as the autonomous car should stay within a predefined track and has to keep itself within the yellow lines on both sides of the road. This chapter elaborates the technologies and advancements that have been presented in the literature till date that deal with Obstacle Detection and Track Detection in Autonomous Cars/Vehicles.
Part of the book: Autonomous Vehicle and Smart Traffic
The idea of autonomous cars has been around for decades, but the recent advancements in automation, robotics and communication technology have given sharp rise to the prospect of self-driving/autonomous vehicles technology. With the recent acceleration in research and development in this field, the dream is now turning into reality and soon autonomous vehicles (AVs) and human-driven vehicles (HVs) will be sharing the road. This chapter presents an insight into the possible challenges and hurdles that need to be addressed in order to make this co-existence possible. Considering all possible scenarios and circumstances is crucial to develop the right technology and infrastructure for future transportation systems. The chapter further discusses the strategies and solutions suggested and developed to overcome these challenges.
Part of the book: Autonomous Vehicles