Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy
A European research project led by Eindhoven University of Technology in the Netherlands makes real-time information available for the whole transport chain for the first time.
The GET Service software platform, which is being presented at an international symposium in Rotterdam on 1 October, enables a flexible response to unforeseen circumstances, making transport faster, more environmentally friendly and cheaper each year by many billions. The researchers are confident that the total fuel consumption
ARH is introducing a new version of its Carmen ANPR engine (used by many detection and enforcement applications worldwide), with the new software working on video streams rather than individual frame-grabbed images. Called Carmen Go, the technology is described as a camera-independent and auto adaptive plug and play system that extracts ANPR from any video stream – in fact up to eight video streams simultaneously on a single licence. The company said the new system runs on a pc and cameras can be connected
