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Found 7 papers, 1 papers with code
Fuel Saving Effect and Performance of Velocity Control for Modern Combustion-Powered Scooters
Fuel savings of 13. 6 % in real-world test scenarios were achieved while maintaining vehicle performance.
WaLiN-GUI: a graphical and auditory tool for neuron-based encoding
Neuromorphic computing relies on spike-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spiking representation.
Development of an interface for digital neuromorphic hardware based on an FPGA
Together with their dedicated hardware, SNNs provide a good platform for developing new algorithms for information processing.
Low-Cost Throttle-By-Wire-System Architecture For Two-Wheeler Vehicles
Its consisting of an anisotropic magnetoresistance (AMR) throttle position sensor and a position controlled stepper motor driven throttle valve actuator.
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware
We also show that when using local plasticity, threshold adaptation in spiking neurons and a recurrent topology are necessary to learn spatio-temporal patterns with a rich temporal structure.
Real-time detection of uncalibrated sensors using Neural Networks
Nowadays, sensors play a major role in several contexts like science, industry and daily life which benefit of their use.
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
The Spiking Central Pattern Generator consists of a network of five populations of Leaky Integrate-and-Fire neurons designed with a specific topology in such a way that the rhythmic patterns can be generated and driven by the aforementioned external stimulus.
