Self-driving cars: A survey

C Badue, R Guidolini, RV Carneiro, P Azevedo… - Expert systems with …, 2021 - Elsevier
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

A survey of motion planning and control techniques for self-driving urban vehicles

B Paden, M Čáp, SZ Yong, D Yershov… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Self-driving vehicles are a maturing technology with the potential to reshape mobility by
enhancing the safety, accessibility, efficiency, and convenience of automotive transportation …

Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning

C You, J Lu, D Filev, P Tsiotras - Robotics and Autonomous Systems, 2019 - Elsevier
Autonomous vehicles promise to improve traffic safety while, at the same time, increase fuel
efficiency and reduce congestion. They represent the main trend in future intelligent …

Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs

S Brechtel, T Gindele, R Dillmann - 17th international IEEE …, 2014 - ieeexplore.ieee.org
This paper presents a generic approach for tactical decision-making under uncertainty in the
context of driving. The complexity of this task mainly stems from the fact that rational decision …

Multipolicy decision-making for autonomous driving via changepoint-based behavior prediction: Theory and experiment

E Galceran, AG Cunningham, RM Eustice, E Olson - Autonomous Robots, 2017 - Springer
This paper reports on an integrated inference and decision-making approach for
autonomous driving that models vehicle behavior for both our vehicle and nearby vehicles …

Learning driver behavior models from traffic observations for decision making and planning

T Gindele, S Brechtel, R Dillmann - IEEE Intelligent …, 2015 - ieeexplore.ieee.org
Estimating and predicting traffic situations over time is an essential capability for
sophisticated driver assistance systems and autonomous driving. When longer prediction …

Probabilistic online POMDP decision making for lane changes in fully automated driving

S Ulbrich, M Maurer - 16th International IEEE Conference on …, 2013 - ieeexplore.ieee.org
The Stadtpilot project aims at fully automated driving on Braunschweig's inner city ring road.
The TU Braunschweig's research vehicle “Leonie” is one of the first vehicles having the …

A markov decision process framework to incorporate network-level data in motion planning for connected and automated vehicles

X Liu, N Masoud, Q Zhu, A Khojandi - Transportation Research Part C …, 2022 - Elsevier
Autonomy and connectivity are expected to enhance safety and improve fuel efficiency in
transportation systems. While connected vehicle-enabled technologies, such as coordinated …

Towards tactical lane change behavior planning for automated vehicles

S Ulbrich, M Maurer - 2015 IEEE 18th International Conference …, 2015 - ieeexplore.ieee.org
Recently, automated driving has more and more been transformed from an exciting vision
into hands on reality by prototypes. While drivers are used to assistance and maybe even …

Tactical cooperative planning for autonomous highway driving using Monte-Carlo Tree Search

D Lenz, T Kessler, A Knoll - 2016 IEEE Intelligent Vehicles …, 2016 - ieeexplore.ieee.org
Human drivers use nonverbal communication and anticipation of other drivers' actions to
master conflicts occurring in everyday driving situations. Without a high penetration of …