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Military Robotics And Autonomous Systems Conference Announced as Fully Interactive Virtual Meeting

With the continued uncertainty surrounding large gatherings in the UK, SMi Group have made the decision to turn the 3rd annual Military Robotics and Autonomous Systems Conference on the 2nd-3rd September 2020 into a fully interactive virtual meeting.

16 Jul 2020

Milrem Robotics to Deliver Presentation at Upcoming Europe Conference

The Future Armoured Vehicles Central and Eastern Europe Conference will return to Prague, Czech Republic on Monday 13th and Tuesday 14th October 2020.

15 Jul 2020

Volvo Autonomous Hauler Wins Red Dot Award

The TA15 – part of the TARA autonomous transport solution from Volvo Autonomous Solutions – has won a coveted Red Dot Award for product design – the most globally-recognized mark for industrial design quality.

From Volvo Autonomous Solutions 23 Jun 2020

Novel Dataset To Expedite Autonomous Driving Studies

How can we train self-driving vehicles to have a deeper awareness of the world around them? Can computers learn from past experiences to recognize future patterns that can help them safely navigate new and unpredictable situations?

19 Jun 2020

New Method Offers More Driving Data to Improve Accuracy of Autonomous Vehicles

A self-driving car must exactly track the movement of bicycles, pedestrians, and other vehicles around it to ensure safety. A new technique designed at the Carnegie Mellon University (CMU) could help train such tracking systems more effectively.

18 Jun 2020

Phantom AI to Launch Advanced Driver Assistance System

Phantom AI Inc., a developer of a vehicle-agnostic autonomous driving platform, today announced joint development with Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, of full stack Level 2 advanced driver assistance system (ADAS) solutions.

18 Jun 2020

New Method Could Improve Detection Accuracy of Autonomous Cars

Quick detection of pedestrians or other cars sharing the road is very crucial for self-driving cars. At Carnegie Mellon University, scientists have demonstrated that it is possible to considerably enhance the accuracy of detection by assisting the vehicle to also identify what it does not observe—i.e., empty space.

12 Jun 2020