Essays about: "Self-Driving"
Showing result 6 - 10 of 173 essays containing the word Self-Driving.
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6. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. READ MORE
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7. Study of the ALKS Parameter Space for Validation and Verification of Autonomous Cars’ Function via Design of Experiments
University essay from Karlstads universitet/Avdelningen för matematikAbstract : .... READ MORE
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8. Static Extrinsic Calibration of a Vehicle-Mounted Lidar Using Spherical Targets
University essay from Umeå universitet/Institutionen för fysikAbstract : Self-driving cars are steadily becoming a reality by a growing number of driver assistance functions enabled by smart perception sensors. The light detection and ranging (lidar) sensor show great potential for perception tasks due to its precise distance measurements. READ MORE
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9. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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10. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. READ MORE