A ’Cognitive Driving Framework’ for Collision Avoidance in Autonomous Vehicles
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 5
Abstract
The Cognitive Driving Framework is a novel method for forecasting the future states of a multi-agent system that takes into consideration both the intentions of the agents as well as their beliefs about the environment. This is partic-ularly useful for autonomous vehicles operating in an urban environment. The algorithm maintains a posterior probability distribution over agent intents and beliefs in order to more accurately forecast their future behavior. This allows an agent navigating the environment to recognize dangerous situations earlier and more accurately than competing algorithms, therefore allowing the agent take actions in order to prevent collisions. This paper presents the Cognitive Driving Framework in detail and describes its application to intersection navigation for au-tonomous vehicles. The effects of different parameter choices on the performance of the algorithm are analyzed and experiments are conducted demonstrating the ability of the algorithm to predict and prevent automobile collisions caused by human error in multiple intersection navigation scenarios. The results are compared to the performance of prevailing methods; namely reactionary planning and constant velocity forecasting.
Authors and Affiliations
Alan Hamlet, Carl Crane
Keywords
Related Articles
- EP ID EP89532
- DOI 10.14569/IJACSA.2015.060519
- Views 128
- Downloads 0
Design and Simulation of a Novel Dual Band Microstrip Antenna for LTE-3 and LTE-7 Bands
Long Term Evolution (LTE) is currently being used in many developed countries and hopefully will be implemented in more countries. An antenna operating in LTE-3 band can support global roaming in ITU Regions 1 and 3, Cos...
A fast cryptosystem using reversible cellular automata
This article defines a new algorithm for a secret key cryptosystem using cellular automata which is a promising approach to cryptography. Our algorithm is based on cellular automata built on a set of reversible rules whi...
Privacy and Security Mechanisms for eHealth Monitoring Systems
The rapid scientific and technological merging be-tween Internet of Things (IoT), cloud computing and wireless body area networks (WBANs) have significantly contributed to the advent of e-healthcare. Due to this the qual...
Intelligent Model Conception Proposal for Adaptive Hypermedia Systems
The context of this article is to study and propose solutions for the major problems of adaptive hypermedia systems. In fact, the works and models proposed for these systems are made according to the tradition of studyin...
A General Model for Similarity Measurement between Objects
The problem to detect the similarity or the differ-ence between objects are faced regularly in several domains of applications such as e-commerce, social network, expert system, data mining, decision support system, etc....