Automotive
Designing reliable aircraft can be both challenging and time-consuming, as it often entails several steps and analyses. Deep learning models could potentially help to speed up aircraft design and deployment, helping developers ...
Robotics
Unmanned aerial vehicles (UAVs), also known as drones, can help humans to tackle a variety of real-world problems; for instance, assisting them during military operations and search and rescue missions, delivering packages ...
Automotive
While many automotive companies are now invested in the development of self-driving cars, the vehicles created so far have not yet attained the safety levels necessary for them to be deployed on a large-scale. For this to ...
Energy & Green Tech
Drastically reducing greenhouse gas emissions is of utmost importance to mitigate climate change and its detrimental effects. To work toward this goal, most automotive and transport companies are investing in hybrid and electric ...
Computer Sciences
Managing road intersections in crowded and dynamic environments, such as urban areas, can be highly challenging. The poor management of traffic at these can lead to road accidents, wastage of fuel, and environmental pollution.
Robotics
Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published ...
Automotive
In recent years, many companies, research organizations and academic institutions worldwide have been trying to develop safe and reliable autonomous vehicles. To be deployed on a large-scale, however, these vehicles should ...
Automotive
In recent years, many companies have been investing in fully and partly autonomous vehicles. Before these vehicles can be deployed in the real world and on a large scale; however, their developers will need to ensure that ...
Automotive
While many self-driving vehicles have achieved remarkable performance in simulations or initial trials, when tested on real streets, they are often unable to adapt their trajectories or movements based on those of other vehicles ...
Computer Sciences
Over the past few years, a growing number of researchers and companies worldwide have been developing techniques for automated driving. Before self-driving vehicles can be introduced on real roads, however, their efficiency ...
