# DAC-SDC Low Power Object Detection Challenge for UAV Applications

arXiv: https://arxiv.org/abs/1809.00110 · HTML: https://mlsanity.com/paper/1809.00110/

## Key facts

- Cited by 18 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Sep 2018.

## Built on by (most cited first, 18 of 18)

- [Deep Learning for UAV-based Object Detection and Tracking: A Survey](https://mlsanity.com/paper/2110.12638/) (2021)
- [Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?](https://mlsanity.com/paper/2312.04548/) (2023)
- [RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive Learning](https://mlsanity.com/paper/2409.13366/) (2024)
- [E3-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles](https://mlsanity.com/paper/2308.04774/) (2023)
- [LRDDv2: Enhanced Long-Range Drone Detection Dataset with Range Information and Comprehensive Real-World Challenges](https://mlsanity.com/paper/2508.03331/) (2025)
- [DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs](https://mlsanity.com/paper/2308.11334/) (2023)
- [FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review](https://mlsanity.com/paper/2506.03938/) (2025)
- [Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons](https://mlsanity.com/paper/2311.07955/) (2023)
- [PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC](https://mlsanity.com/paper/2404.19354/) (2024)
- [LRDDv3: High-Resolution Long-Range Drone Detection Dataset with Range Information and Thermal Data](https://mlsanity.com/paper/2605.25942/) (2026)
- [Compilation and Optimizations for Efficient Machine Learning on Embedded Systems](https://mlsanity.com/paper/2206.03326/) (2022)
- [DSR: Towards Drone Image Super-Resolution](https://mlsanity.com/paper/2208.12327/) (2022)
- [Towards Robust Drone Vision in the Wild](https://mlsanity.com/paper/2208.12655/) (2022)
- [Adaptive Soft Error Protection for Neural Network Processing](https://mlsanity.com/paper/2407.19664/) (2024)
- [Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation](https://mlsanity.com/paper/2408.05617/) (2024)
- [RegTrack: Simplicity Beneath Complexity in Robust Multi-Modal 3D Multi-Object Tracking](https://mlsanity.com/paper/2409.00618/) (2024)
- [Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA](https://mlsanity.com/paper/2503.13023/) (2025)
- [A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation](https://mlsanity.com/paper/2606.20869/) (2026)

## Abstract (arXiv)

The 55th Design Automation Conference (DAC) held its first System Design Contest (SDC) in 2018. SDC'18 features a lower power object detection challenge (LPODC) on designing and implementing novel algorithms based object detection in images taken from unmanned aerial vehicles (UAV). The dataset includes 95 categories and 150k images, and the hardware platforms include Nvidia's TX2 and Xilinx's PYNQ Z1. DAC-SDC'18 attracted more than 110 entries from 12 countries. This paper presents in detail the dataset and evaluation procedure. It further discusses the methods developed by some of the entries as well as representative results. The paper concludes with directions for future improvements.