3D Multi-Object Tracking

31 papers with code • 6 benchmarks • 7 datasets

Image: Weng et al

Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking

lixiaoyu2000/fastpoly 20 Mar 2024

3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception.

23
20 Mar 2024

Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

phi-wol/hydra 12 Mar 2024

Low-cost, vision-centric 3D perception systems for autonomous driving have made significant progress in recent years, narrowing the gap to expensive LiDAR-based methods.

9
12 Mar 2024

Offline Tracking with Object Permanence

tudelft-iv-students/offline-tracking-with-object-permanence 2 Oct 2023

In this work, we propose an offline tracking model that focuses on occluded object tracks.

5
02 Oct 2023

Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter

eddyhkchiu/mahalanobis_3d_multi_object_tracking 26 Sep 2023

However, their proposed methods mainly use cooperative detection results as input to a standard single-sensor Kalman Filter-based tracking algorithm.

364
26 Sep 2023

Delving into Motion-Aware Matching for Monocular 3D Object Tracking

kuanchihhuang/moma-m3t ICCV 2023

In this paper, we find that the motion cue of objects along different time frames is critical in 3D multi-object tracking, which is less explored in existing monocular-based approaches.

23
22 Aug 2023

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

dsx0511/3dmotformer ICCV 2023

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning.

49
12 Aug 2023

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses

poodarchu/efg ICCV 2023

3D multi-object tracking (MOT) is vital for many applications including autonomous driving vehicles and service robots.

102
09 Jun 2023

You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking

wangxiyang2022/YONTD-MOT 18 Apr 2023

In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve satisfactory tracking performance.

39
18 Apr 2023

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

youngskkim/CRN ICCV 2023

Autonomous driving requires an accurate and fast 3D perception system that includes 3D object detection, tracking, and segmentation.

58
03 Apr 2023

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

exiawsh/streampetr ICCV 2023

On the standard nuScenes benchmark, it is the first online multi-view method that achieves comparable performance (67. 6% NDS & 65. 3% AMOTA) with lidar-based methods.

456
21 Mar 2023