Vehicle Pose Estimation
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Benchmarks
Most implemented
3D Bounding Box Estimation Using Deep Learning and Geometry
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
A Graph-Based Approach for Category-Agnostic Pose Estimation
Kinematic 3D Object Detection in Monocular Video
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Papers
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method
Online localization of road intersections is beneficial for autonomous vehicle localization, mapping and motion planning. Intersections offer strong landmarks to correct vehicle pose estimation in GNSS dropouts and ancho…
BenchmarkingMotion PlanningPose EstimationRoad Segmentation+1LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
Autonomous racing provides a controlled environment for testing the software and hardware of autonomous vehicles operating at their performance limits. Competitive interactions between multiple autonomous racecars howeve…
Autonomous RacingAutonomous VehiclesComputational EfficiencyPoint Cloud Segmentation+3CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Conventional 2D pose estimation models are constrained by their design to specific object categories. This limits their applicability to predefined objects. To overcome these limitations, category-agnostic pose estimatio…
2D Pose EstimationAnimal Pose EstimationCategory-Agnostic Pose EstimationDecoder+6DeepKalPose: An Enhanced Deep-Learning Kalman Filter for Temporally Consistent Monocular Vehicle Pose Estimation
This paper presents DeepKalPose, a novel approach for enhancing temporal consistency in monocular vehicle pose estimation applied on video through a deep-learning-based Kalman Filter. By integrating a Bi-directional Kalm…
Pose EstimationTime SeriesVehicle Pose EstimationImproved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
Perception is a key element for enabling intelligent autonomous navigation. Understanding the semantics of the surrounding environment and accurate vehicle pose estimation are essential capabilities for autonomous vehicl…
Autonomous NavigationAutonomous VehiclesMotion EstimationPose Estimation+3View From Above: Orthogonal-View aware Cross-view Localization
This paper presents a novel aerial-to-ground feature aggregation strategy tailored for the task of cross-view image-based geo-localization. Conventional vision-based methods heavily rely on matching ground-view image…
Domain Adaptationgeo-localizationPose EstimationVehicle Pose Estimation