4 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
REFNet++: Multi-Task Efficient Fusion of Camera and Radar Sensor Data in Bird's-Eye Polar View
Kavin Chandrasekaran, Sorin Grigorescu, Gijs Dubbelman +1
A realistic view of the vehicle's surroundings is generally offered by camera sensors, which is crucial for environmental perception. Affordable radar sensors, on the other hand, a…
Revisiting Radar Perception With Spectral Point Clouds
Hamza Alsharif, Jing Gu, Pavol Jancura +2
Radar perception models are trained with different inputs, from range-Doppler spectra to sparse point clouds. Dense spectra are assumed to outperform sparse point clouds, yet they…
A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data
Kavin Chandrasekaran, Sorin Grigorescu, Gijs Dubbelman +1
Cameras can be used to perceive the environment around the vehicle, while affordable radar sensors are popular in autonomous driving systems as they can withstand adverse weather c…
Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
Yao Lu, Hiram Rayo Torres Rodriguez, Sebastian Vogel +2
Neural Architecture Search (NAS) has become the de-facto approach for designing accurate and efficient networks for edge devices. Since models are typically quantized for edge depl…