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

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Showing 541–550 of 2605 papers

TitleStatusHype
Annotation-Free Curb Detection Leveraging Altitude Difference Image—0
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles—0
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data—0
Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditions—0
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
An LSTM Network for Highway Trajectory Prediction—0
Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles—0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
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Benchmark Results

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