Autonomous driving in urban environments: approaches, lessons and challenges

By Murray Campbell, Magnus Egerstedt, Jonathan P. How, Richard M. Murray. 2010

366 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “[20] X X X X X [21] X X X [22] X X [23] X [24] X X X X [25] X X X [26] X [27] X X X X X [28] X X X X Ours X X X X X X X X X”
Optimization-Based Collision Avoidance (2017, methodology): “In the following, we review optimization-based approaches, and refer the interested reader to [26, 27, 28, 29, 30] for a comprehensive overview of the entire ﬁeld.”
Traffic jams: dynamics and control (2010, background): “The last DARPA Grand Challenge vindicated that even completely autonomous driving was possible in complex urban environments (Campbell et al. 2010).”
Game Theoretic Analysis of Road User Safety Scenarios Involving Autonomous Vehicles (2018, background): “rocessors and the increase in the amount of data collected by smart sensors, as well as the empowerment of machine learning techniques such as deep neural networks, as was already pointed out in 2010 [1]. The trend in this ﬁeld will be likely led by autonomous vehicles (AVs), which might set up the ”
Perception, Planning, Control, and Coordination for Autonomous Vehicles (2017, background): “Performance of the SDVs was still far from matching the quality of human drivers and only six of the 35 competition entrants were able to complete the final event, but nevertheless, this milestone demonstrated the feasibility of self-driving in an urban environment [10,42,185–188] and revealed impor”
Autonomous Cars: Research Results, Issues, and Future Challenges (2019, methodology): “To date, several surveys have been conducted that investigate various aspects of autonomous car technology [22]–[32].”
Autonomous Ground Vehicles—Concepts and a Path to the Future (2012, background): “Object recognition is required to decide when the goal has been reached.”
Autonomous cars: Past, present and future a review of the developments in the last century, the present scenario and the expected future of autonomous vehicle technology (2015, background): “The Commission for Global Road Safety believes that it is very crucial to stop this avoidable and horrendous rise in road injuries, and initiate year on year reductions (Campbell, 2010).”
A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach (2020, background): “Advancements in both related hardware and software technologies in the last several decades have further stimulated the interests in autonomous vehicles and many achievements have been made [2]–[4].”