Stereo-Camera-Based Urban Environment Perception Using Occupancy Grid and Object Tracking

By Thien-Nghia Nguyen, Bernd Michaelis, Ayoub Al-Hamadi, Michael Tornow, Marc-Michael Meinecke. 2012

83 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Automotive Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Alexander Hermans
2. Francis Engelmann
3. Aljosa Osep
4. Dirk Klostermann
5. Markus Mathias
6. Kazuya Takeda
7. Bastian Leibe
8. Alexander Carballo

In Automotive Engineering

1. Jacob Lambert
2. Alexander Carballo
3. Ekim Yurtsever
4. Kazuya Takeda
5. Bastian Leibe

In Computer Vision and Pattern Recognition

1. Bastian Leibe
2. Luc Van Gool
3. Alexander Hermans
4. Aljosa Osep
5. Yi Yang
6. Andrew Zisserman
7. Ekim Yurtsever
8. Bernt Schiele

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “Using occupancy maps as a frame for all sensors to contribute to and then doing data association in that frame is common, especially when using multiple sensors [185].”
• Multi-scale object candidates for generic object tracking in street scenes (2016, background): “[14] also target generic objects of several sizes, but they only track moving objects, with the purpose of generating”