Gregor H.W. Gebhardt Computational Learning for Autonomous Systems, Technische Universität Darmstadt Kevin Daun Computational Learning for Autonomous Systems, Technische Universität Darmstadt Marius Schnaubelt Computational Learning for Autonomous Systems, Technische Universität Darmstadt Alexander Hendrich Computational Learning for Autonomous Systems, Technische Universität Darmstadt Daniel K...

The rising popularity of self-driving cars has led to the emergence a new research field in recent years: Autonomous racing. Researchers are developing software and hardware for high performance race vehicles which aim operate autonomously on edge limits: High speeds, accelerations, low reaction times, highly uncertain, dynamic adversarial environments. This paper represents first holistic surv...

This study focused on the effect of transcribing task, as a noticing activity, on EFL learners’ grammatical accuracy. For 20 sessions, oral discussion tasks were assigned to 2 intermediate adult EFL classrooms, with 1 class serving as the control group and the other as the experimental group. For this purpose, the learners were divided into groups of 3 or 4 in each class. Learners in both group...

A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...

With the continuous development of the industrialization process, the countries all over the world gradually appeared lack of agricultural labor force and aging phenomenon, which was especially prominent in developed countries. However the agricultural robot with high operating efficiency, high qualities of work will play an increasingly important role in future agricultural production. Robot n...

The idea of Fixation introduced a direct method for general recovery of shape and motion from images without using either feature correspondence or optical flow [1,2]. There are some parameters which have important effects on the performance of fixation method. However, the theory of fixation does not say anything about the autonomous and correct choice of those parameters. This paper presents ...

The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway is studied by combining the structural equation model an artificial neural network. model’s output variables are used as input network, which compensates for linear problem ensures accuracy In order to summarize influencing factors acceptance, Unified Theory Acceptance Use Technology was expanded adding t...