Search Results for author: Davi Frossard

Found 3 papers, 0 papers with code

StrObe: Streaming Object Detection from LiDAR Packets

no code implementations12 Nov 2020 Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun

In this paper we propose StrObe, a novel approach that minimizes latency by ingesting LiDAR packets and emitting a stream of detections without waiting for the full sweep to be built.

Object object-detection +1

DeepSignals: Predicting Intent of Drivers Through Visual Signals

no code implementations3 May 2019 Davi Frossard, Eric Kee, Raquel Urtasun

Detecting the intention of drivers is an essential task in self-driving, necessary to anticipate sudden events like lane changes and stops.

End-to-end Learning of Multi-sensor 3D Tracking by Detection

no code implementations29 Jun 2018 Davi Frossard, Raquel Urtasun

In this paper we propose a novel approach to tracking by detection that can exploit both cameras as well as LIDAR data to produce very accurate 3D trajectories.

Multiple Object Tracking

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