Learning automated driving in complex intersection scenarios based on camera sensors: A deep reinforcement learning approach

G Li, S Lin, S Li, X Qu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
intersection scenarios by comprehensively considering driving safety, travel efficiency and
driving … -making method for automated driving in complex intersection scenarios based on …

Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks

L Wei, Z Li, J Gong, C Gong, J Li - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
driving strategies of the intersection scenario, this paper also contains the following features:
1) The categories of existing intersection scenarios are … to test automated driving systems," …

[PDF][PDF] Scenario based testing of automated driving systems: A literature survey

D Nalic, T Mihalj, M Bäumler, M Lehmann… - FISITA web …, 2020 - researchgate.net
Scenario based methods for testing and validation of automated driving systems (ADS) in …
Using scenario and simulation based approaches this effort can be efficiently reduced with …

Scenario interpretation for automated driving at intersections

DP Lopez, R Waldmann, C Joerdens… - Smart Cities, Green …, 2019 - Springer
… Since the proposed approach is developed for automated driving systems, we can take for
… In this paper a scenario interpretation concept for automated driving at intersections has …

Defining and substantiating the terms scene, situation, and scenario for automated driving

S Ulbrich, T Menzel, A Reschka… - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
… : An automated vehicle approaches an intersection with a … the automated vehicle (blue) to
pass the intersection straight … lane, it might be irrelevant for the driving function. Thus, the bike …

Cooperative automated driving for various traffic scenarios: Experimental validation in the GCDC 2016

V Dolk, J den Ouden, S Steeghs… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
… In the cooperative intersection scenario, we consider three … automated driving system in a
safe and efficient manner. … The cooperative automated driving system presented in this paper …

Automated driving in uncertain environments: Planning with interaction and uncertain maneuver prediction

C Hubmann, J Schulz, M Becker… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
… [22] present an algorithm for solving continuous-state and continuous-observation POMDPs
and show simulation results for an intersection scenario. A simplified intersection model is …

Application of evolutionary algorithms and criticality metrics for the verification and validation of automated driving systems at urban intersections

A Bussler, L Hartjen, R Philipp… - 2020 IEEE intelligent …, 2020 - ieeexplore.ieee.org
… Therefore, this application examines the combination of an EA, a fitness function and
criticality metric in an urban intersection scenario to search for potential collisions, which has - to …

Trajectory planning for automated driving in intersection scenarios using driver models

O Speidel, M Graf, A Kaushik… - … and Automation …, 2020 - ieeexplore.ieee.org
… ], [14] for social compliant behavior in intersection scenarios ua novel concept for behavior
generation in intersection scenarios utilizing driver models ua new decision making approach …

Risk-aware high-level decisions for automated driving at occluded intersections with reinforcement learning

D Kamran, CF Lopez, M Lauer… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
… Moreover, these intersections are often occluded … automated vehicles [1]–[6]. This framework
helps to learn long term optimal decisions for complex scenarios in automated driving such …