Martin Fritzsche

Publications24
h-index10
Citations317
Highly Influential Citations15
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  • Publications
  • Influence
Agile Methods and CMMI: Compatibility or Conflict?
TLDR
This paper analyzes to what extent the CMMI process areas can be covered by XP and where adjustments of XP have to be made. Expand
  • 67
  • 5
  • PDF
High-performance on-road vehicle detection in monocular images
TLDR
This paper addresses the problem of monocular vehicle detection for forward collision warning. Expand
  • 21
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BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Binary Neural Networks (BNNs) can drastically reduce memory size and accesses by applying bit-wise operations instead of standard arithmetic operations. Therefore it could significantly improve the… Expand
  • 34
  • 3
  • PDF
A learning concept for behavior prediction in traffic situations
TLDR
We present a concept to adapt human reasoning and thinking to a system based on Case-Based Reasoning. Expand
  • 20
  • 1
Probabilistic inference of visibility conditions by means of sensor fusion
TLDR
We present a system to estimate the visibility range for both the driver and vision-based ADAS by means of sensor fusion. Expand
  • 7
  • 1
State and existence estimation with out-of-sequence measurements for a collision avoidance system
TLDR
A new method to deal with outof-sequence measurements not only in state estimation, but also in existence estimation. Expand
  • 6
  • 1
Improving localization in digital maps with grid maps
TLDR
This paper presents a self-localization concept for road vehicles using only a mono camera as sensor. Expand
  • 9
Multi-sensor self-localization based on Maximally Stable Extremal Regions
TLDR
This contribution presents a precise localization method for advanced driver assistance systems. Expand
  • 35
Precise timestamping and temporal synchronization in multi-sensor fusion
TLDR
A filter-based method for achieving accurate timestamping and temporal synchronization in a multi-sensor setup was proposed in this paper. Expand
  • 31
A learning concept for behavior prediction at intersections
TLDR
The idea presented in this paper is an online learning approach for behavior prediction of other road participants at an intersection. Expand
  • 25