Felipe Jimenez – författare

Intelligent Road Vehicles examines specific aspects of intelligent vehicles such as enabling technologies, human factors and an analysis of social and economic impacts. The book is an invaluable resource for those pursuing deeper knowledge in the intelligent vehicles field, providing readers with an idea of current and future technologies, current projects and developments and the future of intelligent vehicles.Intelligent road vehicles are becoming a challenging area of research worldwide. Apart from the final applications and systems in vehicles, there are many enabling technologies that should be introduced. Communications and automation are two key areas for future automobiles. This book benefits from collaboration on the Thematic Network on Intelligent Vehicles led by Felipe Jimenez.- Provides a general overview of different aspects related to intelligent road vehicles (sensors, applications, communications, automation, human factors, etc.)- Addresses the different components and building blocks of intelligent vehicles in a single, comprehensive reference- Explains how sensors are interpreted, including how different sensor readings are fused- Addresses issues involved with avoiding collisions and other factors such as pot holes, unclear road lines or markings, and unexpected weather conditions

Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms.- Provides a complete overview of decision-making and control techniques for autonomous vehicles- Includes technical, physical, and mathematical explanations to provide knowledge for implementation of tools- Features machine learning to improve performance of decision-making algorithms- Shows how regulations and ethics influence the development and implementation of these algorithms in real scenarios

Este texto muestra cómo, además de la desproporción normativa que tiene la penalización de las drogas en Colombia – que otras investigaciones de Dejusticia ya han hecho evidente -, la manera como el Estado aplica y hace efectivas esas normas es discriminatoria. A una desproporción normativa se suma, entonces, una discriminación fáctica. Y peor aún, esta discriminación es doble: por un lado, dicha aplicación es selectiva en el territorio, pues tiende a concentrar su eficacia en algunos territorios, pues tiende a concentrar su eficacia en algunos territorios y no otros y, por el otro, es selectiva en los delitos, pues se concentra en la sanción de unos delitos y no de otros. A partir de este diagnóstico el documento formula algunas recomendaciones generales de política pública, tanto estructurales al sistema de justicia como específicas al problema del narcotráfico en el país.