Keypoint Tracking and Matching in Autonomous Vehicles to measure TTC between consecutive frames of the KITTI Dataset
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Updated
Nov 17, 2019 - Jupyter Notebook
Keypoint Tracking and Matching in Autonomous Vehicles to measure TTC between consecutive frames of the KITTI Dataset
Experimental dockerized workspace for 2D/3D object detection, segmentation, tracking, anything related to perception
Notes and key takeaways of the Self-Driving Cars Perception applied Deep Learning Free Course from freeCodeCamp.org
This repository contains supplementary materials for a Master Thesis project on efficient object detection. It includes a series of video demonstrations showcasing the performance of networks trained and tested on synthetic (AVX) and real-world (KITTI) data sets.
Tools to adapt the Playing For Benchmark dataset to the KITTI format
Tools and Collection of Models to Experiment on the KITTI Dataset using Keras
Implementation of stereo visual odometry with bundle adjustment using classical computer vision algorithms and optimization techniques on KITTI dataset.
Comparison of state-of-the-art deep learning models that estimate depth from a single image
The tools to convert dataset like KITTI into VOC format.
A package for automatic dataset collection, annotation and generating semantic labels using ROS. Dataset format supported is VOC and KITTI.
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
[BMVC 2022] SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features
[CVPR 2023 - L3D-IVU] PyTorch implementation of "Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection"
3d bounding box detection for autonomous driving
KITTI Sensor Fusion and Object Detection.
Python tools for working with KITTI data.
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