SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 471480 of 2605 papers

TitleStatusHype
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Learning a Lattice Planner Control Set for Autonomous VehiclesCode0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
Lane Detection and Classification using Cascaded CNNsCode0
PanSR: An Object-Centric Mask Transformer for Panoptic SegmentationCode0
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate DiffusionCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified