2 papers
cs.CV2025
Data-Free Dynamic Compression of CNNs for Tractable Efficiency
Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache
To reduce the computational cost of convolutional neural networks (CNNs) on resource-constrained devices, structured pruning approaches have shown promise in lowering floating-poin…
cs.RO2024
The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
Steffen Hagedorn, Marcel Hallgarten, Martin Stoll +1
Automated driving has the potential to revolutionize personal, public, and freight mobility. Beside accurately perceiving the environment, automated vehicles must plan a safe, comf…