Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles

Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles

Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles Faisal Riaz, Muaz A. Niazi Dept. Of Computing-Iqra University, Islamabad, Pakistan Dept. Of Computer Sciences-COMSATS, Islamabad, Pakistan Email: [email protected], *[email protected] Abstract Rear end collisions are deadliest in nature and cause most of traffic casualties and inj...

A ’Cognitive Driving Framework’ for Collision Avoidance in Autonomous Vehicles

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 particularly useful for autonomous vehicles operating in an urban environment. The algorithm maintains a posterior probability distribution over agent intents and belief...

Assessment of IVHS Countermeasures for Collision Avoidance: Rear-End Crashes

Risk-Based Collision Avoidance in Semi-Autonomous Vehicles

Although there have been a number of advances in active vehicle safety, such as Autonomous Emergency Braking[2] and Steering[5], there is significant room for improvement. By using a riskminimization approach that utilizes a neural network trained from simulation and re-evaluates its control decision 30 times per second, we are able to significantly improve upon Autonomous Emergency systems. In...

Human Performance Models and Rear-End Collision Avoidance Algorithms

Collision warning systems offer a promising approach to mitigate rear-end collisions, but substantial uncertainty exists regarding the joint performance of the driver and the collision warning algorithms. A simple deterministic model of driver performance was used to examine kinematics-based and perceptual-based rear-end collision avoidance algorithms over a range of collision situations, algor...