The seeing passenger car 'VaMoRs-P'

By E. Dickmanns, R. Behringer, D. Dickmanns, T. Hildebrandt, Markus Maurer, F. Thomanek, J. Schiehlen. 1994

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Citations in the corpus

Deep learning in neural networks: An overview (2014, background): “This is of interest for fully autonomous, selfdriving cars in traffic (e.g., Dickmanns et al., 1994).”
Three Decades of Driver Assistance Systems: Review and Future Perspectives (2014, unknown): “(Franke et al. 1994, Dickmanns et al. 1994).”
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots (2016, background): “Computer Vision and Robotics literature mainly focused on paved road [6], [7], [8], [9] and forest/desert road perception [10].”
On-road vehicle detection: a review (2006, background): “A first attempt to deploy this observation can be found in [39], although there was no systematic way to choose appropriate threshold values.”
Probabilistic Algorithms in Robotics (2000, background): “Probabilistic algorithms have been at the core of a number of state-of-the-art robot systems (see e.g., [2, 21]), such as the Xavier robot mentioned above [80].”
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art (2017, background): “Long Distance Test Demonstrations: In 1995 the team within the PROMETHEUS project Dickmanns et al. (1990); Franke et al. (1994); Dickmanns et al. (1994) performed the first autonomous long-distance drive from Munich, Germany, to Odense, Denmark, at velocities up to 175 km/h with about 95%…”
Stanley: The robot that won the DARPA Grand Challenge (2006, result): “While a number of systems have shown impressive results ( Dickmanns et al., 1994; Hebert et al., 1997; Pomerleau and Jochem, 1996), further research is needed to achieve the level of reliability necessary for this demanding task.”