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 276–300 of 2605 papers

TitleStatusHype
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
Counterfactual Multi-Agent Policy GradientsCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
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Benchmark Results

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