Papers 3D Single Object Tracking
“3D Single Object Tracking” 태그가 달린 논문 43편 · 필터 해제
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
3D single object tracking (3DSOT) in LiDAR point clouds is a critical task for outdoor perception, enabling real-time perception of object location, orientation, and motion. Despite the impressive performance of current …
3D Single Object TrackingContrastive LearningObject TrackingGSOT3D: Towards Generic 3D Single Object Tracking in the Wild
In this paper, we present a novel benchmark, GSOT3D, that aims at facilitating development of generic 3D single object tracking (SOT) in the wild. Specifically, GSOT3D offers 620 sequences with 123K frames, and covers a …
3D Object Tracking3D Single Object TrackingObjectObject TrackingMVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
3D single object tracking is essential in autonomous driving and robotics. Existing methods often struggle with sparse and incomplete point cloud scenarios. To address these limitations, we propose a Multimodal-guided Vi…
3D Single Object TrackingAutonomous DrivingObject TrackingVoxelTrack: Exploring Voxel Representation for 3D Point Cloud Object Tracking
Current LiDAR point cloud-based 3D single object tracking (SOT) methods typically rely on point-based representation network. Despite demonstrated success, such networks suffer from some fundamental problems: 1) It conta…
3D Single Object TrackingGPUObject TrackingTask 23D Single-object Tracking in Point Clouds with High Temporal Variation
The high temporal variation of the point clouds is the key challenge of 3D single-object tracking (3D SOT). Existing approaches rely on the assumption that the shape variation of the point clouds and the motion of the ob…
3D Single Object TrackingObject TrackingSiamMo: Siamese Motion-Centric 3D Object Tracking
Current 3D single object tracking methods primarily rely on the Siamese matching-based paradigm, which struggles with textureless and incomplete LiDAR point clouds. Conversely, the motion-centric paradigm avoids appearan…
3D Object Tracking3D Single Object TrackingMotion EstimationObject+1P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
3D single object tracking (SOT) methods based on appearance matching has long suffered from insufficient appearance information incurred by incomplete, textureless and semantically deficient LiDAR point clouds. While mot…
3D Single Object TrackingGPUObject TrackingFlowTrack: Point-level Flow Network for 3D Single Object Tracking
3D single object tracking (SOT) is a crucial task in fields of mobile robotics and autonomous driving. Traditional motion-based approaches achieve target tracking by estimating the relative movement of target between two…
3D Single Object TrackingAutonomous DrivingObject TrackingPillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
LiDAR-based 3D single object tracking (3D SOT) is a critical issue in robotics and autonomous driving. Existing 3D SOT methods typically adhere to a point-based processing pipeline, wherein the re-sampling operation inva…
3D Single Object TrackingAutonomous DrivingObject TrackingSpatio-Temporal Bi-directional Cross-frame Memory for Distractor Filtering Point Cloud Single Object Tracking
3D single object tracking within LIDAR point clouds is a pivotal task in computer vision, with profound implications for autonomous driving and robotics. However, existing methods, which depend solely on appearance match…
3D Single Object TrackingAutonomous DrivingObject LocalizationObject TrackingSeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
3D single object tracking (SOT) is an important and challenging task for the autonomous driving and mobile robotics. Most existing methods perform tracking between two consecutive frames while ignoring the motion pattern…
3D Single Object TrackingAutonomous DrivingObject TrackingTowards Category Unification of 3D Single Object Tracking on Point Clouds
Category-specific models are provenly valuable methods in 3D single object tracking (SOT) regardless of Siamese or motion-centric paradigms. However, such over-specialized model designs incur redundant parameters, thus l…
3D Single Object TrackingAttributeObject TrackingRepresentation LearningMulti-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
Point cloud-based 3D object tracking is an important task in autonomous driving. Though great advances regarding Siamese-based 3D tracking have been made recently, it remains challenging to learn the correlation between …
3D Object Tracking3D Single Object TrackingAutonomous DrivingFeature Correlation+1Robust 3D Tracking with Quality-Aware Shape Completion
3D single object tracking remains a challenging problem due to the sparsity and incompleteness of the point clouds. Existing algorithms attempt to address the challenges in two strategies. The first strategy is to learn …
3D Single Object TrackingObject TrackingM3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clouds introduce variations in the appearanc…
3D Single Object TrackingAutonomous DrivingObject TrackingBEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View
3D Single Object Tracking (SOT) is a fundamental task of computer vision, proving essential for applications like autonomous driving. It remains challenging to localize the target from surroundings due to appearance vari…
3D Single Object TrackingAutonomous DrivingObject TrackingregressionMotion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to estimate the current target status. However,…
3D Single Object TrackingDecoderObject TrackingSTTracker: Spatio-Temporal Tracker for 3D Single Object Tracking
3D single object tracking with point clouds is a critical task in 3D computer vision. Previous methods usually input the last two frames and use the predicted box to get the template point cloud in previous frame and the…
3D Single Object TrackingObjectObject TrackingCorrelation Pyramid Network for 3D Single Object Tracking
3D LiDAR-based single object tracking (SOT) has gained increasing attention as it plays a crucial role in 3D applications such as autonomous driving. The central problem is how to learn a target-aware representation from…
3D Single Object TrackingAutonomous DrivingDecoderObject+1MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search area. However, textureless and incomplete …
3D Single Object TrackingObject Tracking