Understanding and Modeling the Human Driver

By Charles C. MacAdam. 2003

509 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/29293fe56efacc8c6920c6526cf0493007f5e2d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Kashyap Chitta
2. Andreas Geiger
3. Hongyang Li
4. Li Chen
5. Katrin Renz
6. Ilya V. Kolmanovsky
7. Stefano Di Cairano
8. Ping Luo

In Control and Systems Engineering

1. Stefano Di Cairano
2. Ilya V. Kolmanovsky
3. Alberto Bemporad
4. Li Chen
5. Kashyap Chitta
6. Hongyang Li
7. Andreas Geiger
8. Ping Luo

In Safety, Risk, Reliability and Quality

1. Kashyap Chitta
2. Andreas Geiger

Citations in the corpus

• Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management (2014, background): “For instance, [14] proposes a linear model with additional nonlinearities such as actuator saturation, slew-rate, and time delays, [15] proposes a hidden Markov model, and [16] proposes nonlinear ARMAX models.”
• DriveLM: Driving with Graph Visual Question Answering (2023, background): “Human drivers usually decompose their decision-making process into distinct stages that follow a logical progression which encompasses the identification and localization of key objects, their possible future action and interaction, and ego planning based on all this information [22, 46].”