Automotive Machine Perception
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Initial Situation
Goal of the project was to implement an Object classification and localization software module in traffic for Cars, Trucks, Motorcycles Bicycles and Pedestrians using a Mono Camera mounted in the windshield.
Requirements:
- Runtime >10 FPS
- Accuracy >95% TP in ego lane
- Object: 2-wheelers, Person, Truck, Car

Figure 1: Forklift with our stereo smart sensor for localisation and mapping
Solution
- Development of Deep Autoencoder for Image compression
- Evaluation of different image compression algorithms for faster loading/storing times
Results
- Faster loading times (x10) by compressing the reference images with the Deep Autoencoder
- Similar accuracy for the rotation estimation
- Concept for improved rotation matching strategy