Collision avoidance systems can play a vital role in reducing the number of accidents and
saving human lives. In this paper, we introduce and validate a novel method for vehicles …

Autonomous Obstacle Avoidance for Off-Road Vehicles | Intelligent Autonomous Systems 2, An
International Conference skip to main content ACM Digital Library home ACM home Google …

The challenging task of “intelligent vehicles” opens up a new frontier to enhancing traffic
safety. However, how to determine driving behavior timely and effectively is one of the most …

This paper takes a look at the mechanisms by which autonomous vehicles operate:
reinforcement learning in particular. Machine learning techniques used by companies such …

Abstract Machine learning techniques such as artificial neural networks have recently shown
very promising results for decision control tasks when combined with reinforcement learning …

Autonomous vehicles promise to improve traffic safety while, at the same time, increase fuel
efficiency and reduce congestion. They represent the main trend in future intelligent …

Obstacle avoidance is a core module for autonomous vehicle working in open environment.
A lot of research is concentrated on obstacle avoidance and path planning of vehicle moving …

Autonomous driving is gaining popularity in research interest and industry investment over
the last decade, due to its potential to increase driving safety to avoid driver errors which …

This work regards our preliminary investigation on the problem of path planning for
autonomous vehicles that move on a freeway. We approach this problem by proposing a …

The answer to strengthening the mobility intelligence connected with utilising is to use
autonomous, self-driving cars. This project offers a practical method for putting a self-driving …