Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)
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Updated
Oct 7, 2025 - Python
Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)
Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"
Leveraging HD Maps for 3d object detection
Detecting street poles in HD map point cloud data.
An India-native, self-improving data engine for autonomous driving. Auto-labeling with a calibrated confidence gate, active learning, HD maps, per-object dynamics, and a governed closed loop.
Turn any Android phone into an HD mapping device for self-driving cars. On-device camera+GNSS+IMU to lane-level HD maps with OpenDRIVE/Lanelet2/GeoJSON export. By Sherin Joseph Roy / blurabbit.com
🛣️ Live on-device top-down lane mapping from a dash-mounted phone. ARCore + LiteRT lane detection, lane vectorization, and HD-map exports (GeoJSON, OpenDRIVE, Lanelet2, KML) plus ML dataset export. 100% offline. Kotlin/Android.
Dynamic-scene-robust HD-map localization for cheap vision sensors: ONNX masking + 2D ICP + gated EKF, on ROS2 with an AWS map/model pipeline.
Core pipeline for the detection of road lines and their representation in world coordinates. Base for several autonomous vehicles works.
Detecting and classifying traffic rule changes from induction loop sensor data - IEEE BigData 2023.
Production-grade Python engineering playbooks for HD vehicle mapping & autonomous-vehicle spatial data — HD map architecture, lane geometry, and sensor fusion.
Carmera * — independent third-party profile of a public API surface, by API Evangelist. CARMERA was a New York City based road-intelligence and HD mapping company that provided "change-as-a-service" map maintenance for autonomous driving, mobility-as-a-service and consumer navigation.
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