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Efficient lossless compression for depth information in traffic scenarios
Qing Rao,
Samarjit Chakraborty
Chair of Real-Time Computer Systems
Technical University of Munich
Daimler-Benz AG
Research output
:
Contribution to journal
›
Article
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peer-review
1
Scopus citations
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Keyphrases
Depth Information
100%
Traffic Scenarios
100%
Lossless Compression
100%
Stixel
100%
Automotive Industry
33%
Depth Data
33%
CAN Bus
33%
Compression System
33%
Input Source
16%
Depth Map
16%
Entropy Coding
16%
Space Saving
16%
Processing Unit
16%
Mid-level Representation
16%
Augmented Reality
16%
In-vehicle Communication
16%
Cost-sensitive
16%
Spatial Redundancy
16%
Predictive Modeling
16%
Series Production
16%
Zlib
16%
Temporal Redundancy
16%
Compression Depth
16%
In-vehicle
16%
In-vehicle Communication System
16%
FlexRay Bus
16%
Engineering
Automotives
100%
Lossless Compression
100%
Compression Scheme
66%
Processing Unit
33%
Disparity Map
33%
Communication System
33%
Production Car
33%
Augmented Reality
33%
Series Production
33%
Data Volume
33%
Input Source
33%
Computer Science
Depth Information
100%
Lossless Compression
100%
Compression Scheme
66%
Level Representation
33%
Potential Solution
33%
Augmented Reality
33%
FlexRay
33%
Processing Unit
33%