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07/07/2021
Learning Stixel-based Instance Segmentation
Stixels have been successfully applied to a wide range of vision tasks i...
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06/23/2020
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time
In this paper we propose a novel 3D single-shot object detection method ...
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06/15/2020
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes
Object detection is an important task in environment perception for auto...
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06/14/2020
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
Detecting vehicles and representing their position and orientation in th...
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10/02/2019
Slanted Stixels: A way to represent steep streets
This work presents and evaluates a novel compact scene representation ba...
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07/17/2017
Slanted Stixels: Representing San Francisco's Steepest Streets
In this work we present a novel compact scene representation based on St...
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07/11/2017
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
In this paper, we present RegNet, the first deep convolutional neural ne...
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04/02/2017
The Stixel world: A medium-level representation of traffic scenes
Recent progress in advanced driver assistance systems and the race towar...
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12/20/2016
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
The detection of small road hazards, such as lost cargo, is a vital capa...
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09/15/2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Detecting small obstacles on the road ahead is a critical part of the dr...
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08/02/2016
Semantically Guided Depth Upsampling
We present a novel method for accurate and efficient up- sampling of spa...
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04/18/2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
Recent approaches for instance-aware semantic labeling have augmented co...
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04/06/2016