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 811–820 of 2605 papers

TitleStatusHype
An Ontology-based Method to Identify Triggering Conditions for Perception Insufficiency of Autonomous Vehicles—0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection—0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU—0
An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles—0
Camera-Based Localization and Enhanced Normalized Mutual Information—0
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data—0
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces—0
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction—0
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Benchmark Results

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