Extensive Tests of Autonomous Driving Technologies

By Alberto Broggi, M. Buzzoni, S. Debattisti, P. Grisleri, Maria Chiara Laghi, P. Medici, P. Versari. 2013

200 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, neutral): “Ours 1 4 Boss [43] 1 9 5 2 Junior [20] 1 2 6 4 BRAiVE [48] 5 1 10 RobotCar [49] 3 4 Google car (prius) [51] 1 4 1 Uber car (XC90) [52] 1 10 7 Uber car (Fusion) [52] 1 7 7 20 Bertha [53] 6 3 Apollo Auto [54] 1 3 2 2”
A Review of Motion Planning Techniques for Automated Vehicles (2016, background): “cross-country automobile journey in history, in an autonomous way [5]; and Vislab and the University of Parma, showing automated driving capabilities in the PROUD project demo on 2013 [6], are some of the recent demonstrations with promising results regarding automated driving technologies.”
Autonomous Vehicle Safety: An Interdisciplinary Challenge (2017, background): “(e.g., Urmson 2008, Levinson 2011, Broggi 2013, Ziegler 2014, Aeberhard 2015, SAE J3018) However, it is well known that a testing-only approach is insufficient to ensure the safety of even non-autonomous software-based critical systems.”
Computing Systems for Autonomous Driving: State of the Art and Challenges (2020, background): “The DARPA challenges are a milestone for the prototyping of autonomous driving vehicles, including Boss from CMU [21], Junior from Stanford [22], TerraMax and BRAiVE from University of Parma [23], etc.”
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020, background): “has attracted extensive interest in recent years from both technology companies and research institutes [1], [2].”
Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs (2016, background): “Academia has also demonstrated meaningful results by running autonomous driving tests.(9,10) In the future, as addressed in Kumar et al.”
Autonomous Cars: Research Results, Issues, and Future Challenges (2019, methodology): “[98] developed and tested BRAin driVE (BRAiVE) at Artificial Vision and Intelligent Systems Lab (VisLab).”
A Review of Motion Planning for Highway Autonomous Driving (2020, background): “China [12]; and ran the PROUD project [13] in 2013, a mixed traffic driving route open to public traffic through Parma, Italy.”
PROUD—Public Road Urban Driverless-Car Test (2015, methodology): “To perform the PROUD test, the BRAiVE prototype has been slightly modified starting from the configuration already presented in [20].”
Remote Attacks on Automated Vehicles Sensors : Experiments on Camera and LiDAR (2015, methodology): “Fo example, the VisLab’s BRAiVE aut mated vehicle has ten cameras installed [5], including ones in the side mirrors, which are regularly calibrated to minimize the distortion between cameras.”
Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions (2015, background): “Presented in [79], [80] urban and inter-continental public road tests”
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “Technical details about the embedded technologies can be found in [256].”