T‐ESVO: Improved Event‐Based Stereo Visual Odometry via Adaptive Time‐Surface and Truncated Signed Distance Function
نویسندگان
چکیده
The emerging event cameras have the potential to be an excellent complement for standard within various visual tasks, especially in illumination-changing environments or situations requiring high-temporal resolution. Herein, event-based stereo odometry (VO) system via adaptive time-surface (TS) and truncated signed distance function (TSDF), namely, T-ESVO, is proposed . consists of three carefully designed components, including processing unit, mapping tracking unit. Specifically, unit adopts a novel spatial–temporal TS that can deal with different camera motions environments. introduces TSDF describe 3D representation achieves depth estimation based on global historical information contained environmental description. 6-DoF pose through 3D–2D registration method left/right selection mechanism point mechanism. effectiveness robustness are evaluated datasets, experimental results show T-ESVO good performance both accuracy when compared other state-of-the-art VO systems.
منابع مشابه
Truncated Signed Distance Fields
This thesis is concerned with topics related to dense mapping of large scale three-dimensional spaces. In particular, the motivating scenario of this work is one in which a mobile robot with limited computational resources explores an unknown environment using a depth-camera. To this end, low-level topics such as sensor noise, map representation, interpolation, bit-rates, compression are invest...
متن کاملHigh Altitude Stereo Visual Odometry
Stereo visual odometry has received little investigation in high altitude applications due to the generally poor performance of rigid stereo rigs at extremely small baseline-to-depth ratios. Without additional sensing, metric scale is considered lost and odometry is seen as effective only for monocular perspectives. This paper presents a novel modification to stereo based visual odometry that a...
متن کاملFeatures detection for Stereo Visual Odometry
Estimating its ego-motion is one of the most important capabilities for an autonomous mobile platform. Without reliable ego-motion estimation no long-term navigation is possible. Besides odometry, inertial sensors, DGPS, laser range finders and so on, vision based algorithms can contribute a lot of information. Stereo odometry is a vision based motion estimation algorithm that estimates the ego...
متن کاملThree-Point Direct Stereo Visual Odometry
Stereo visual odometry estimates the ego-motion of a stereo camera given an image sequence. Previous methods generally estimate the ego-motion using a set of inlier features while filtering out outlier features. However, since the perfect classification of inlier and outlier features is practically impossible, the motion estimate is often contaminated by erroneous inliers. In this paper, we pro...
متن کاملDirect Stereo Visual Odometry based on Lines
We propose a novel stereo visual odometry approach, which is especially suited for poorly textured environments. We introduce a novel, fast line segment detector and matcher, which detects vertical lines supported by an IMU. The patches around lines are then used to directly estimate the pose of consecutive cameras by minimizing the photometric error. Our algorithm outperforms state-of-the-art ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advanced intelligent systems
سال: 2023
ISSN: ['2640-4567']
DOI: https://doi.org/10.1002/aisy.202300027