… -driving car which can drive itself on the track of a simulator. The self-driving car uses deep
… Specifically, an electric R/C car chassis we mentioned here including the frame of car, motors…

… what is exactly a smart car and what makes a smart car an autonomous car. We then …
autonomous car. Throughout this thesis, we have used the terms autonomous cars, driverless cars…

… -capable vehicle, to assess the feasibility of autonomous vehicle-based traffic control on …
field test that an autonomous vehicle is able to dampen waves generated by 22 cars, and that as …

… autonomous cars’ development and deployment on a large scale. We also highlight
autonomous car … Finally, to enable cost-effective, safe, and efficient autonomous cars, we discuss …

… Our understanding of the effects arising from commuting in autonomous cars is still limited.
The novel … Visual feedback of leading traffic distance has also led to an improvement of …

… Feedback from domain experts. We conclude this section by summarizing the qualitative
feedback of the domain experts from IEE with whom we have been collaborating on the …

… This constructs a feedback mechanism to control the water into the Chengdu Plain: the …
the control mechanisms of these systems in general, and finally summarized feedback into …

… state-feedback portion will be designed; in the second step, a nonlinear feedback portion …
; in the final step, the linear feedback portion, nonlinear feedback portion, and the disturbance …

… It was also shown that head direction feedback can be almost as good as steering feedback.
… method for Deep RL for autonomous driving, utilizing multiple sources of human feedback. …

… NVIDIA developed DAVE-2 as a robust system for self-driving cars on public roads that
steers an autonomous vehicle based on the data trained with images obtained by a front-facing …