PulseAugur
EN
LIVE 10:36:39
ENTITY KITTI dataset

KITTI dataset

PulseAugur coverage of KITTI dataset — every cluster mentioning KITTI dataset across labs, papers, and developer communities, ranked by signal.

Show in brief
Total · 30d
6
6 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
6
6 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. RESEARCH · CL_76870 ·

    Study shows lightweight image-based ReID improves 3D pedestrian tracking

    Researchers have studied how to improve 3D multi-pedestrian tracking by integrating image-based re-identification (ReID) with geometric data. Existing methods often use computationally heavy detectors, hindering real-ti…

  2. TOOL · CL_72797 ·

    New AI system enhances autonomous navigation with adaptive sensor fusion

    Researchers have developed a new hybrid deep learning system for autonomous navigation that combines a Vision Transformer with an Unscented Kalman Filter. This system enhances pose estimation by capturing temporal depen…

  3. TOOL · CL_66159 ·

    New method enhances 3D object detection with point cloud completion

    Researchers have developed a new method to improve 3D object detection in autonomous driving by addressing the issue of sparse and incomplete point cloud data. The proposed technique involves an Instance Selection modul…

  4. RESEARCH · CL_48280 ·

    New method jointly calibrates camera-LiDAR without targets

    Researchers have developed a novel pipeline for calibrating cameras and LiDAR sensors without requiring physical targets. This method jointly estimates both the intrinsic parameters of the camera, including distortion, …

  5. TOOL · CL_29264 ·

    TriBand-BEV system achieves real-time LiDAR-only pedestrian detection

    Researchers have developed TriBand-BEV, a novel real-time 3D pedestrian detection system using only LiDAR data. The system encodes 3D LiDAR point clouds into a lightweight 2D Bird's Eye View (BEV) tensor with three heig…

  6. RESEARCH · CL_06421 ·

    Enhanced YOLOv8n model boosts real-time vehicle detection with attention and efficient convolution

    Researchers have developed an improved YOLOv8n model for real-time vehicle detection, incorporating Ghost Modules, CBAM, and DCNv2. This enhanced model aims to boost performance in intelligent transportation systems by …