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 81–90 of 2605 papers

TitleStatusHype
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
Counterfactual Multi-Agent Policy GradientsCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive LearningCode1
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Benchmark Results

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