12 citations · 16 across the 13 of their papers we have counts for
3 papers · 1 filter
Scenario-based Evaluation of Prediction Models for Automated Vehicles
Manuel Muñoz Sánchez, Jos Elfring, Emilia Silvas +1
To operate safely, an automated vehicle (AV) must anticipate how the environment around it will evolve. For that purpose, it is important to know which prediction models are most a…
Informed sampling-based trajectory planner for automated driving in dynamic urban environments
Robin Smit, Chris van der Ploeg, Arjan Teerhuis +1
The urban environment is amongst the most difficult domains for autonomous vehicles. The vehicle must be able to plan a safe route on challenging road layouts, in the presence of v…
Long Horizon Risk-Averse Motion Planning: a Model-Predictive Approach
Chris van der Ploeg, Robin Smit, Arjan Teerhuis +1
Developing safe automated vehicles that can be proactive, safe, and comfortable in mixed traffic requires improved planning methods that are risk-averse and that account for predic…