… Alternatively, works in different fields of study can be combined to achieve protection, such
as distance-bounded protocol [36], [37]. They measure and ensure the distance between …

… combines the flexibility of a virtual environment (eg, vehicle … being developed to validate
the safety of AVs. One possible … data in a loop for reinforcement learning and learning-by-…

… by combining the learning-based policy with traditional control. In particular, the traditional
control … For the emergent scenario, we apply the conservative safe policy π safe as shown in …

… , we see a combination of the scenario-based approach and verification … The Reinforcement
Learner generates pedestrian … The advantage of Reinforcement Learning is that it can even …

… The use of connected and autonomous vehicles and … of independent and combined control
of the vehicle driveline. The … on the topic of safe reinforcement learning and two modifications …

… in machine learning, computer vision, and vehicle control. … 3) C-V2X: C-V2X combines the
traditional V2X network with the … safe autonomous driving under severe weather conditions. …

… analyses whether combining RGB and depth modalities, … Paddock, “Driving to safety: How
many miles of driving would it … , machine learning, and autonomous driving. He has been …

… The publisher, the authors, and the editors are safe to … since 2013 in many ways (eg
autonomous cars, AlphaGo). It has … DRL is to combine the advantages of DL and RL for building …

… , where the input to the machine learning algorithm are … products, as automotive, security
and surveillance, augmented reality… used a small stride in combination with all the convolutions …

… the learning pattern of human and AI. They have analyzed that machine learning (ML)
algorithms can effectively make self-learning systems. ML algorithms are a sub-field of AI in which …