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 151200 of 2605 papers

TitleStatusHype
Fourier Prompt Tuning for Modality-Incomplete Scene SegmentationCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy FeaturesCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
Ford Multi-AV Seasonal DatasetCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye CameraCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud DataCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-AttentionCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
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
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
Counterfactual Multi-Agent Policy GradientsCode1
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR DataCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
IBISCape: A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic EnvironmentsCode1
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap FusionCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
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 Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
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Benchmark Results

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