Oscar González-Miranda’s Post

Test of my ADS for the AutoMiny. The vehicle is capable of lane-keeping, traffic signal identification, obstacle avoidance, parking, and adhering to traffic rules. #autonomousvehicles #selfdrivingcars #automateddriving #computervision #yolo #cnn #neuralnetworks #machinelearning

Behavior selector for autonomous vehicles using neural networks In this work, we propose a method to build a behavior selector for the autonomous vehicle AutoMiny. With this, the vehicle was able to: drive lane-keeping and under the speed limit, pass parked cars, stop if a pedestrian (or another obstacle) appears in front of it, and park when the “passenger” sends a signal. The behavior selector designed was a feed-forward neural network where the inputs are seven binary variables whose values change depending on the sensors’ data, and four neurons in the output correspond to four driving maneuvers. #autonomousvehicles #selfdrivingcars #automateddriving #computervision #yolo #cnn #neuralnetworks #machinelearning

Test of my ADS for the AutoMiny. The vehicle is capable of lane-keeping, traffic signal identification, obstacle avoidance, parking, and adhering to traffic rules. https://lnkd.in/gxE9XgRa

Please, check my YouTube channel: @OscarGonzalez-ex4db https://lnkd.in/ehYgHY-v

You can visit my GitHub's site to see my works: https://lnkd.in/ehJuJPK9