1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Anomaly Detection from Cyber Threats via Infrastructure to Automated Vehicle
Chris van der Ploeg, Robin Smit, Alexis Siagkris-Lekkos +2
Using Infrastructure-to-Vehicle (I2V) information can be of great benefit when driving autonomously in high-density traffic situations with limited visibility, since the sensing ca…