1 citations · 1 across the 6 of their papers we have counts for
6 papers
Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency
Manuel Muñoz Sánchez, Chris van der Ploeg, Robin Smit +3
Predicting the movement of other road users is beneficial for improving automated vehicle (AV) performance. However, the relationship between the time horizon associated with these…
Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields
Chris van der Ploeg, Truls Nyberg, José Manuel Gaspar Sánchez +2
As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS)…
SECREDAS: Safe and (Cyber-)Secure Cooperative and Automated Mobility
Chris van der Ploeg, Jacco van de Sluis, Sebastian Gerres +6
Infrastructure-to-Vehicle (I2V) and Vehicle-to-Infrastructure (V2I) communication is likely to be a key-enabling technology for automated driving in the future. Using externally pl…
Optimization-based Fault Mitigation for Safe Automated Driving
Niels Lodder, Chris van der Ploeg, Laura Ferranti +1
With increased developments and interest in cooperative driving and higher levels of automation (SAE level 3+), the need for safety systems that are capable to monitor system healt…
Connecting the Dots: Context-Driven Motion Planning Using Symbolic Reasoning
Chris van der Ploeg, Michiel Braat, Beatrice Masini +2
The introduction of highly automated vehicles on the public road may improve safety and comfort, although its success will depend on social acceptance. This requires trajectory pla…
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…