19 citations · 19 across the 3 of their papers we have counts for
4 papers
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks
Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous +4
Closing the gap between the hardware requirements of state-of-the-art convolutional neural networks and the limited resources constraining embedded applications is the next big cha…
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving
Alexander Frickenstein, Manoj Rohit Vemparala, Jakob Mayr +4
Driveable area detection is a key component for various applications in the field of autonomous driving (AD), such as ground-plane detection, obstacle detection and maneuver planni…
SafeCritic: Collision-Aware Trajectory Prediction
Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss +1
Navigating complex urban environments safely is a key to realize fully autonomous systems. Predicting future locations of vulnerable road users, such as pedestrians and cyclists, t…
Attention-based Lane Change Prediction
Oliver Scheel, Naveen Shankar Nagaraja, Loren Schwarz +2
Lane change prediction of surrounding vehicles is a key building block of path planning. The focus has been on increasing the accuracy of prediction by posing it purely as a functi…