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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 961–970 of 2605 papers

TitleStatusHype
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception—0
Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles—0
Real-Time Kinematics-Based Sensor-Fault Detection for Autonomous Vehicles Using Single and Double Transport with Adaptive Numerical Differentiation—0
ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous Vehicles—0
PBP: Path-based Trajectory Prediction for Autonomous Driving—0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningCode1
3D Object Positioning Using Differentiable Multimodal Learning—0
Hierarchical-level rain image generative model based on GAN—0
Continual Cross-Dataset Adaptation in Road Surface Classification—0
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Benchmark Results

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