The latest vehicle developmentDevelopment incorporates many differentDifferent kinds of technologies. They are computer visionVision, machineMachine vision, machine learningLearning, deepDeeplearningLearning, and IoTIoT technologies. The root of artificialArtificialintelligenceIntelligence is machine learningLearning and deep learning. With the combination of both machine learningLearning and deep learning, automakersAutomaker implemented the controlControl logic for the control loop of the vehicle, thereby achieving a completely autonomousAutonomousdrivingDriving system. The deep learningLearningalgorithmsAlgorithm produce the functionalFunctionalsafetySafety of the carCar. A DOER-CHECKER principle follows to checkCheck the applicationApplicationsafetySafety for each of the vehicle’s components, such that they have adhered to the ISO26262 objectives at ASIL D. A few predictive algorithmsAlgorithm run simultaneously for lane selection, distance keeping, and collisionCollisionavoidanceAvoidance scheme, driverDriverconditionCondition evaluation as well as automotiveAutomotiveengineEngine prediction.
Deep Learning and Neural Network Algorithms
Robotic Vehicles: Systems and Technology ; Chapter : 11 ; 81-86
2021-03-07
6 pages
Article/Chapter (Book)
Electronic Resource
English
Fast Learning Algorithms for Multi-Layered Feedforward Neural Network
British Library Conference Proceedings | 1994
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