High Performance Pedestrian Detection On TEGRA X1NVIDIA
This document summarizes work done to optimize pedestrian detection using histograms of oriented gradients (HOG) on an NVIDIA Tegra X1 mobile GPU. The optimizations included improving instruction level parallelism, using approximations like lower precision, and specializing parts of the algorithm. These optimizations resulted in an overall 1.87x speedup compared to the original implementation, achieving 214 frames per second on Tegra X1.
High Performance Pedestrian Detection On TEGRA X1NVIDIA
This document summarizes work done to optimize pedestrian detection using histograms of oriented gradients (HOG) on an NVIDIA Tegra X1 mobile GPU. The optimizations included improving instruction level parallelism, using approximations like lower precision, and specializing parts of the algorithm. These optimizations resulted in an overall 1.87x speedup compared to the original implementation, achieving 214 frames per second on Tegra X1.
29. SCHEDULE & WORK DIVISION
• Aug. 8 • Test and optimize 3D scene in MID
• Render 3D scene (concise edition) • Optimize GPS Data
• Test with Bluetooth GPS/Compass • Aug. 22
• Retrieve and process data from • Integration testing
pedometer
• Aug. 29
• Aug. 15
• Finish all project documents
• Build up connection between bluetooth
devices and MID
• Cleanup and submit project
• Create a new game controlling mode by
using pedometer and compass