Unmanned aerial vehicles (UAVs), commonly known as drones, have already proved invaluable for tackling a wide range of real-world problems. For instance, they can assist humans with deliveries, environmental monitoring, film-making and search & rescue missions.
Automotive
Efficient single-winged aerial robots with reduced energy consumption
Flying robotic systems have already proved to be highly promising for tackling numerous real-world problems, including explorations of remote environments, the delivery of packages in inaccessible sites, and searches for survivors of natural disasters. In recent...
A large dataset to train machine learning models for aerial vehicle design
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 to identify the most promising solutions...
A hybrid unicycle that can move on the ground and fly
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 or exploring environments that are difficult...
A reinforcement learning framework to enhance the ramp merging capabilities of autonomous vehicles
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 happen, the vehicles will need to be able to...
Study investigates the extent to which e-scooters and e-bikes displace cars using real-world data
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 vehicles, as well as other...
Enhancing the safety of autonomous vehicles in critical scenarios
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 on arXiv, is designed to identify potential...
Exploring the factors that influence drivers while transitioning from highly automated driving
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 they are safe and can deal effectively with...
LUCIDGames: A technique to plan adaptive trajectories for autonomous vehicles
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 or agents in their surroundings. This...
Toyota and NTT to collaborate on platform for connected cars
Car manufacturer Toyota and the Nippon Telegraph and Telephone Corporation (NTT) have announced they are to collaborate on the development of technology for connected cars.