Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Understanding driving behavior–even in the rapid emergence of automation-remains in the
spotlight, for decomposing complex driving dynamics, enabling the development of user …

This article presents an algorithm for the detection of pedestrians in urban driving
environments during the day. The main contribution is in the design of a new classifier to …

Over the last decade, researchers and the car industry became very active in the
deployment of driverless cars as they can greatly increase safety of the vehicle, rate of traffic …

Autonomous driving systems and driver assistance systems are becoming the center of
attention in transport technology. Given its safety criticality, pedestrian detection is a highly …

Automatically recognizing dangerous situations for a vehicle and quickly sharing this
information with nearby vehicles is the most essential technology for road safety. In this …

The modern technological era is witnessing a significant advancement in AI related fields
such as machine learning, mobile robots and autonomous vehicles. The success of such …

Autonomous vehicles utilize a large amount of data from Machine Learning, Neural
networks, Image recognition systems for building the techniques that can drive …

Rapid advances in wireless communication technologies coupled with ongoing massive
development in vehicular networking standards and innovations in computing, sensing, and …

Cyber-physical systems are becoming more intelligent with the adoption of heterogeneous
sensor networks and machine learning capabilities that deal with an increasing amount of …