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

Showing 151175 of 2605 papers

TitleStatusHype
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Counterfactual Multi-Agent Policy GradientsCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Coordinated PSO-PID based longitudinal control with LPV-MPC based lateral control for autonomous vehiclesCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Dolphins: Multimodal Language Model for DrivingCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Collaborative Motion Prediction via Neural Motion Message PassingCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
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Benchmark Results

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