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 1651–1675 of 2605 papers

TitleStatusHype
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions—0
Socially Aware Kalman Neural Networks for Trajectory Prediction—0
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data—0
Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving—0
Social Occlusion Inference with Vectorized Representation for Autonomous Driving—0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network—0
Some Research Problems in Biometrics: The Future Beckons—0
Sparse Federated Learning with Hierarchical Personalized Models—0
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line Correspondences—0
Spatial parking planning design with mixed conventional and autonomous vehicles—0
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles—0
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios—0
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
Spatial Uncertainty Sampling for End-to-End Control—0
Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination—0
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking—0
Spectral Temporal Graph Neural Network for Trajectory Prediction—0
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition—0
Split Learning in Computer Vision for Semantic Segmentation Delay Minimization—0
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving—0
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation—0
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Benchmark Results

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