32 citations · 40 across the 3 of their papers we have counts for
4 papers · 1 filter
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
Flora Dellinger, Thomas Boulay, Diego Mendoza Barrenechea +3
Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deploymen…
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang, Ganesh Sistu, Fabian Burger +2
Deep multi-task networks are of particular interest for autonomous driving systems. They can potentially strike an excellent trade-off between predictive performance, hardware cons…
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
Pullarao Maddu, Wayne Doherty, Ganesh Sistu +7
Automated Parking is a low speed manoeuvring scenario which is quite unstructured and complex, requiring full 360° near-field sensing around the vehicle. In this paper, we discuss…
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
Ganesh Sistu, Isabelle Leang, Senthil Yogamani
Convolutional Neural Networks (CNN) are successfully used for various visual perception tasks including bounding box object detection, semantic segmentation, optical flow, depth es…