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Found 6 papers, 3 papers with code
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
Low-cost, vision-centric 3D perception systems for autonomous driving have made significant progress in recent years, narrowing the gap to expensive LiDAR-based methods.
Ranked #1 on
3D Object Detection
on nuscenes Camera-Radar
Synaptic Diversity in ANNs Can Facilitate Faster Learning
Various advancements in artificial neural networks (ANNs) are inspired by biological concepts, e. g., the artificial neuron, an efficient model of biological nerve cells demonstrating learning capabilities on large amounts of data.
Type-Based Analysis of Logarithmic Amortised Complexity
We introduce a novel amortised resource analysis couched in a type-and-effect system.
Logic in Computer Science Programming Languages F.3.2
Analysis of Logarithmic Amortised Complexity
We introduce a novel amortised resource analysis based on a potential-based type system.
Programming Languages F.3.2
Artificial Intelligence and Data Science in the Automotive Industry
Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future.
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking
We generalize the network flow formulation for multiobject tracking to multi-camera setups.
