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 981990 of 2605 papers

TitleStatusHype
Computation-efficient Deep Learning for Computer Vision: A Survey0
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs0
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing0
Understanding Hessian Alignment for Domain GeneralizationCode1
Real-time Monocular Depth Estimation on Embedded Systems0
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks0
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Benchmark Results

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