output
20152026
most citedCombining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

313 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.ROShow all

3 papers · 1 filter

cs.RO2023★ 9 cited

Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation

Jian Wu, Carol Flannagan, Ulrich Sander +1

The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most co…

cs.RO2023★ 12 cited

Overview of Computer Vision Techniques in Robotized Wire Harness Assembly: Current State and Future Opportunities

Hao Wang, Omkar Salunkhe, Walter Quadrini +4

Wire harnesses are essential hardware for electronic systems in modern automotive vehicles. With a shift in the automotive industry towards electrification and autonomous driving,…

cs.RO2019★ 313 cited

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff +2

Tactical decision making for autonomous driving is challenging due to the diversity of environments, the uncertainty in the sensor information, and the complex interaction with oth…