… deep learning systems lack interpretability, testing the robustness of autonomous driving
systems based on deep learning … The existing efforts on security testing for autonomous driving …

… promoting relevant study, the current research and development situation of cooperative
multirobot systems were systematically reviewed and summarized. Research concerning the …

… the performance of computer vision-based surface defect … ] systematically reported the use
of a complete deep learning … enhancement as well as deep learning classification algorithms …

… Kalman Filter algorithms and vision-based detection. For the … 1.1 Literature Review In order
to mimic the feasible, possibly … As reviewed in [6], generating trajectories in systematic and …

… In this paper, we present a systematic review of application … research directions for Bayesian
filtering with deep learning. … and identification in automated vehicles. IEEE Transactions …

… In this survey, we systematically categorize the deep RL … , and performs machine learning
based on existing static data. … QT-Opt: scalable deep reinforcement learning for vision-based …

… Airbus demonstrates first fully automatic visionbased take-off [… os for automated driving
systems:a systematic literature re⁃ … Assured inte⁃ gration of machine learning-based autonomy …

… with machine learning components. In: Proc. of the 2018 IEEE Intelligent … based testing for
V&V and safety assurance of self-driving autonomous vehicle: A systematic literature review. In…

… This study proposes a monocular vision navigation control system based on PID-fuzzy
control, which travels along the edge of the path. It collects path image information through …

… Key parts detection of dairy cows based on IRT and deep learning[46] … system was developed
using the rest sensors. A mastitis detection model was constructed using machine learning…