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 301–350 of 2605 papers

TitleStatusHype
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
M3TR: A Generalist Model for Real-World HD Map CompletionCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic SegmentationCode1
Object Tracking by Detection with Visual and Motion CuesCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
OoDIS: Anomaly Instance Segmentation BenchmarkCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
LiDAR-based 4D Occupancy Completion and ForecastingCode1
Lidar Panoptic Segmentation in an Open WorldCode1
Dolphins: Multimodal Language Model for DrivingCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
Learning to Navigate Intersections with Unsupervised Driver Trait InferenceCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud PredictionCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
End-to-end Lane Shape Prediction with TransformersCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Learning Interpretable, High-Performing Policies for Autonomous DrivingCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF PriorsCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous CarCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
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Benchmark Results

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