Papers 3D Object Tracking
“3D Object Tracking” 태그가 달린 논문 70편 · 필터 해제
Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision
Monocular 3D object tracking aims to estimate temporally consistent 3D object poses across video frames, enabling autonomous agents to reason about scene dynamics. However, existing state-of-the-art approaches are fully …
3D Object TrackingBlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud
Failing to be aware of speeding vehicles approaching from behind poses a huge threat to the road safety of pedestrians and cyclists. In this paper, we propose BlinkBud, which utilizes a single earbud and a paired phone t…
Reinforcement Learning3D Object TrackingDepth EstimationUniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs
Although transformers have demonstrated remarkable capabilities across various domains, their quadratic attention mechanisms introduce significant computational overhead when processing long-sequence data. In this paper,…
3D Object DetectionTemporal Sequences3D Object TrackingAutonomous DrivingDIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking
State estimation is challenging for 3D object tracking with high maneuverability, as the target's state transition function changes rapidly, irregularly, and is unknown to the estimator. Existing work based on interactin…
3D Object TrackingObject TrackingState EstimationSelf-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
The significant achievements of pre-trained models leveraging large volumes of data in the field of NLP and 2D vision inspire us to explore the potential of extensive data pre-training for 3D perception in autonomous dri…
3D Object Detection3D Object TrackingAutonomous DrivingBEV Segmentation+4Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction
DUSt3R has recently shown that one can reduce many tasks in multi-view geometry, including estimating camera intrinsics and extrinsics, reconstructing the scene in 3D, and establishing image correspondences, to the predi…
3D Object Tracking3D ReconstructionDepth EstimationDepth Prediction+5TrackOcc: Camera-based 4D Panoptic Occupancy Tracking
Comprehensive and consistent dynamic scene understanding from camera input is essential for advanced autonomous systems. Traditional camera-based perception tasks like 3D object tracking and semantic occupancy prediction…
3D Object TrackingObject TrackingScene UnderstandingA Modular Pipeline for 3D Object Tracking Using RGB Cameras
Object tracking is a key challenge of computer vision with various applications that all require different architectures. Most tracking systems have limitations such as constraining all movement to a 2D plane and they of…
3D Object TrackingObject TrackingPrior-free 3D Object Tracking
In this paper, we introduce a novel, truly prior-free 3D object tracking method that operates without given any model or training priors. Unlike existing methods that typically require pre-defined 3D models or specif…
3D Object TrackingObjectObject TrackingLeveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection
While recent advancements in camera-based 3D object detection demonstrate remarkable performance, they require thousands or even millions of human-annotated frames. This requirement significantly inhibits their deplo…
3D Object Detection3D Object TrackingAutonomous Drivingobject-detection+3GSOT3D: 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 TrackingEvaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of performance enhancement. These models, despi…
3D Object TrackingAdversarial AttackObject TrackingPanacea+: Panoramic and Controllable Video Generation for Autonomous Driving
The field of autonomous driving increasingly demands high-quality annotated video training data. In this paper, we propose Panacea+, a powerful and universally applicable framework for generating video data in driving sc…
3D Object Detection3D Object TrackingAutonomous DrivingLane Detection+6SiamMo: 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+1DGD: Dynamic 3D Gaussians Distillation
We tackle the task of learning dynamic 3D semantic radiance fields given a single monocular video as input. Our learned semantic radiance field captures per-point semantics as well as color and geometric properties for a…
3D Object TrackingObject TrackingSceneTracker: Long-term Scene Flow Estimation Network
Considering the complementarity of scene flow estimation in the spatial domain's focusing capability and 3D object tracking in the temporal domain's coherence, this study aims to address a comprehensive new task that can…
3D Object TrackingObject TrackingScene Flow EstimationRCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
The value of roadside perception, which could extend the boundaries of autonomous driving and traffic management, has gradually become more prominent and acknowledged in recent years. However, existing roadside perceptio…
3D Object Detection3D Object TrackingAutonomous DrivingGBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance
Guidance for assemblable parts is a promising field for augmented reality. Augmented reality assembly guidance requires 6D object poses of target objects in real time. Especially in time-critical medical or industrial se…
3D Object Tracking6D Pose EstimationMulti-Object TrackingObject+2Multi-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+1FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups. Our approach can be instantly applied at test-time to a novel object wi…
3D Object Detection3D Object Tracking6D Pose Estimation6D Pose Estimation using RGB+7