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Keyword: traffic object detection ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Modular Lightweight Network for Road Object Detection Using a Feature Fusion Approach

   Liu, Cao, Lasang and Shen · IEEE Transactions on Systems Man and Cybernetics Systems · 2019

   The paper presents MFFD, a small, fast neural network for detecting road objects, including small distant ones, designed to run on resource-limited embedded devices such as driver-assistance systems.

   Unchecked2 claims
   Show 2 claims

   1. UncheckedThe authors report that their lightweight detector, MFFD, compares favourably with state-of-the-art methods on the KITTI road-scene benchmark.“Comparisons with the state-of-the-art on the challenging KITTI dataset reveal the superiority of the proposed method.”
   2. UncheckedThe authors report their lightweight road-object detector runs at 100 ft/s (presumably frames per second) on embedded GPUs such as the Jetson TX2.“Especially, 100 ft/s can be achieved on the embedded GPUs such as Jetson TX2.”