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20122026
most citedCombining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

313 citations

Showing 2023Show all

7 papers · 1 filter

cs.CE2023★ 16 cited

Automatic cable harness layout routing in a customizable 3D environment

T. Karlsson, E. Åblad, T. Hermansson +2

Designing cable harnesses can be time-consuming and complex due to many design and manufacturing aspects and rules. Automating the design process can help to fulfil these rules, sp…

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…

stat.AP2023★ 11 cited

Methodological challenges of scenario generation validation: a rear-end crash-causation model for virtual safety assessment

Jonas Bärgman, Malin Svärd, Simon Lundell +1

Safety assessment of crash and conflict avoidance systems is important for both the automotive industry and other stakeholders. One type of system that needs such an assessment is…

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.CV2023★ 14 cited

A Systematic Literature Review of Computer Vision Applications in Robotized Wire Harness Assembly

Hao Wang, Omkar Salunkhe, Walter Quadrini +6

This article provides a systematic literature review of computer vision applications in robotized wire harness assembly.

quant-ph2023★ 13 cited

Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes

David Fitzek, Robert S. Jonsson, Werner Dobrautz +1

Variational quantum algorithms (VQAs) represent a promising approach to utilizing current quantum computing infrastructures. VQAs are based on a parameterized quantum circuit optim…