VaMP

The VaMP driverless car was one of the first truly autonomous cars ^[1] along with its twin vehicle, the VITA-2. They were able to drive in heavy traffic for long distances without human intervention, using computer vision to recognize rapidly moving obstacles such as other cars, and automatically avoid and pass them.

The VaMP was constructed by the team of Ernst Dickmanns at the Bundeswehr University of Munich and Mercedes-Benz in the 1990s as part of the 800 million ECU EUREKA Prometheus Project on autonomous vehicles (1987–1995). It was a 500 SEL Mercedes re-engineered such that it was possible to control steering wheel, throttle, and brakes through computer commands based on real-time evaluation of image sequences. Software was written that translated sensory data into appropriate driving commands. Due to the limited computing power of the time period, sophisticated computer vision strategies were necessary to react in real time. The Dickmanns team solved the problem through an innovative approach to dynamic computer vision. Attention control including artificial saccadic movements of the platform carrying the cameras allowed the system to focus its attention on the most relevant details of the visual input. Four cameras with two different focal lengths for each hemisphere were used in parallel for this purpose. Kalman filters were extended to handle perspective imaging and to achieve robust autonomous driving even in the presence of noise and uncertainty. Sixty transputers, a type of parallel computers, were used to deal with the enormous (by 1990s standards) computational demands.

In 1994, the VaMP and its twin VITA-2 were stars of the final international presentation of the PROMETHEUS project in October 1994 on Autoroute 1 near the Charles-de-Gaulle airport in Paris. With a safety driver and guests on board, the twins drove more than 1,000 km (620 mi) in normal traffic on the three-lane highway at speeds up to 130 km/h (81 mph). They demonstrated lane changes left and right, autonomously passing other cars after maneuver approval by the safety driver.

One year later, the autonomous Mercedes-Benz drove more than 1,000 miles (2,000 km) from Munich to Copenhagen and back in traffic at up to 180 km/h (110 mph), again planning and executing maneuvers to pass other cars with safety driver approval. However, only in a few critical situations (such as unmodeled construction areas) a safety driver took over completely. Again, active computer vision was used to deal with rapidly changing street scenes. The car achieved speeds exceeding 175 km/h (109 mph) on the German Autobahn, with a mean distance between human interventions of 9 km (5.6 mi). Despite being a research system without emphasis on long distance reliability, it drove up to 158 km (98 mi) without any human intervention.

GPS

Most current robot cars as well as commercial vehicles with driver assistance use GPS so that they know precisely where they are.^{[citation needed]} However, the VaMP did not use GPS, and relied on vision only.

VAMP

The VaMP and VITA-2 projects pioneered many hardware and software concepts that are essential for autonomous robots. They left a big impression on many observers and heavily influenced robot car research and funding decisions worldwide.^{[citation needed]} Since May 2006, VaMP is on display at the Deutsches Museum in Munich, Germany.

References

^ Dynamic Vision for Perception and Control of Motion, a 2007 book by Ernst D. Dickmanns

[1] Dynamic Vision for Perception and Control of Motion, a 2007 book by Ernst D. Dickmanns

[1]

See also

References