In the Providentia++ project, researchers at the Technical University of Munich (TUM) have worked with industry partners to develop a technology to complement the vehicle perspective based on onboard sensor input with a bird’s-eye view of traffic conditions. This improves road safety – also for autonomous driving.
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In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
In this episode, we talk about a TUM spin-off - DeepDrive that wants to address the difficulties in making new EVs from scratch by developing a “plug-and-play” platform along with DLR proposal for a hydrogen plug-in hybrid interurban vehicle to meet the carbon reduction targets of the European Union
Molecular particle free inks can offer extreme formability and stretchability, allowing the design and production of 3D shaped and/or in-mold electronics parts with extreme curvatures and complex shapes.
In this episode, we talk about how researchers plan to orchestrate the movement of a fleet of cars in real-time to avoid or minimize waiting periods at stoplights and how off-road navigation is being tackled in a way that’ll make your car understand the dynamics of its surroundings like a human.
EPFL scientists have built a compact waveguide amplifier by successfully incorporating rare-earth ions into integrated photonic circuits. The device produces record output power compared to commercial fiber amplifiers, a first in the development of integrated photonics over the last decades.
3 minutes read
In the not-too-distant future, autonomous, networked vehicles will be able to handle most tasks independently. However, they are not yet capable of dealing with all traffic situations. If they encounter a problem that they do not know how to solve, safety comes first.
4 minutes read
With the Interurban Vehicle (IUV), the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has developed a ground-breaking concept for mid- and upper range vehicles.
5 minutes read
Using satellite imagery or road schematic maps as "side information," the ViKiNG robot can plan its own miles-long route to a goal — measurably outperforming its strongest competitors, even when its side information is inaccurate or outdated.
This research predicts the adaptive cruise control set speed profile in the user-defined range for the future time steps, optimizing the engine operating point (EOP) in real-time. The prediction of EOP was made by a deep learning model using all the parameters affecting the engine performance.
A novel mathematical approach for planning the autonomous vehicle motion in a constrained space
Attention: Don’t presume human or model-generated labels to be the growth truth for machine learning deployment in autonomous vehicular systems.
Advances in software allow a customized car to perform controlled, autonomous drifting to enhance active safety and to give drivers the skills of professional racers.
Highly automated and autonomous driving are getting ever nearer to becoming a reality. This technology holds the potential to make transport systems safer, more efficient and more convenient.
4 minutes read
Article #4 of the IoT Foundation Series. 5G and 6G will assist in delivering smarter communication between city infrastructure and transportation.
