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This provides a foundation for distributed processing within an ad-hoc network of vehicles moving within range of each other on the highway, which is called cluster intelligence. A basic set of services is defined that enables vehicles within a cluster to share critical operation information. ...This method of imbuing intelligence in the vehicles is seen as a more cost-effective approach to achieving intelligent transportation systems than one based on augmenting the electronics in the highway infrastructure beyond what is required for Internet connectivity.

Demand for predictive powertrain control is rapidly increasing with the recent advancement of Advanced Driving Assistance Systems (ADAS) and Autonomous Driving (AD). The full or semi-autonomous functions could be leveraged to realize better user acceptance as well as powertrain efficiency of the connected vehicle utilizing the proposed Drive Horizon. The sensors of automated driving provide perception of surrounding driving environment which is required to safely navigate the vehicle in real-world driving scenarios. The proposed Drive Horizon provides real-time forecast of driving environment that a vehicle will encounter during its entire travel. This paper summarizes the vehicle’s future speed prediction technique which is an integral part of Drive Horizon for optimized energy control of the vehicle. The prediction model has been developed that integrates information from multiple sources including vehicle GPS, traffic information and map data.

In particular, intelligent infrastructure systems, which leverage modern sensors, artificial intelligence, and communication capabilities, can provide critical information and control support to connected and/or automated vehicles to fulfill functions that are infeasible for automated vehicles alone due to technical or cost considerations. ...Leveraging the intelligence definition of CAH, the intelligence definition for the CADS is also defined. Examples of how the CAH at different levels operates with the CAV in the CADS are also introduced to demonstrate the dynamic allocation of various automated driving tasks between different entities in the CADS. ...However, there is limited research on formulating and standardizing the intelligence levels of road infrastructure to facilitate the development, as the SAE automated driving levels have done for automated vehicles.

Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. ...Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles.

According to the development traces of both the intelligent connected vehicle (ICV) and the artificial intelligence (AI) technologies, we predicted the development trend of the brain controlled cars. ...The main finding of this paper is that human-computer collaborative driving by the hybrid-augmented intelligence is the irresistible trend of the brain controlled cars. The hybrid-augmented intelligence will mainly act on the environment perception module, the decision-making & planning module and the control & execution module of an autonomous driving car to achieve the full autonomous driving in the open traffic and maximally ensure the driving safety.

This work makes a potential contribution to the artificial intelligence application of intelligent transportation systems.

To address this problem, solutions such as cleaner fuels and more efficient engines are necessary. Artificial Intelligence can also play a crucial role in climate analysis and verification to move towards a more sustainable future. ...To address this problem, cleaner fuels, efficient engines, and Artificial Intelligence can play a crucial role. By utilizing connected vehicle data and analyzing real-time vehicle performance data, automakers can create innovative solutions to reduce carbon emissions, benefitting both the environment and vehicle quality.

Artificial Intelligence in the Battlespace Key Considerations for a New Way of Fighting War Machining Beryllium Electrified Propulsion for Aerospace Where to Start The Future of Managing Mission-Critical Systems Improving Battlefield Connectivity for the Modern Warfighter How to Test a Cognitive EW System Molded RF Materials for Hypersonic Sensors and Seekers AUVSI XPONENTIAL Multimode Optical Fiber Sensing Although the vast majority of fiber optic strain sensors use single mode fiber, multimode fiber has a higher nonlinear threshold that enables higher light levels and lower noise, while the diversity of spatial modes can be used to develop sensors that are inherently immune to signal fading.

There is been tremendous progress in the application of technology and artificial intelligence to connected and autonomous vehicles. At the same time, there have been considerable advances in data science and data analysis that allows large data sets to be managed for results.

Now, with the upcoming trend of data analytics and artificial intelligence applications, which demand for an extensive availability of data, holistic aircraft cabin networks are necessary to satisfy the associated requirements.

Connectivity and artificial intelligence will be major features of many upcoming products. The need for accurate estimation of the state of these products and their operational environments, and, the intricacy of their decision, planning, and control algorithms, will cause unprecedented growth in their design complexity as well as their software content.

The SwRI-led Advanced Combustion Catalyst and Aftertreatment Technologies consortium reinvents existing technologies and experiments with new catalysts to meet standards. More intelligence equals more efficiency, enhanced functionality Advanced systems require renewed focus on architectures, processors, sensors and networks.

Considering the increasing demand for vehicle intelligence, it is critical to gain an understanding of the growing variety of intelligent vehicle technologies and how they must function together effectively as a system.

Toyota taking software first approach to connected car architectures

North American International Propulsion Conference (NAIPC) reflects modern developments in alternative, electrified propulsion systems, high tech gasoline, diesel ICEs, hydrogen fuel cells, battery electric systems, variable transmissions.

Finally, it is necessary to keep technology intelligence active in all fields of interest for customer usage simulation activities.

Airbus intends to closely cooperate with start-ups in order to unlock new technologies in artificial intelligence, data analytics, and cyber security for France and Germany’s Future Combat Air System (FCAS) program.

Having the intelligence distributed, wiring harness complexity, mass and size reduces and reliability increases because a failure on one electronic module doesn't affect the performance of the whole system.

ICV must overcome all the shortcomings to achieve its final goal, including insufficient hardware capabilities or excessive cost, and the degree of intelligence that needs to be improved. It is concluded that in each development stage a whole new set of equipment and infrastructure is needed.

Abstract The development of electrification, industrial intelligence, and interconnectivity has driven the transformation of the automobile from a mechanical to an intelligent product.