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 301350 of 2605 papers

TitleStatusHype
A Shared Representation for Photorealistic Driving SimulatorsCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye ViewCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic ConnectivityCode1
Maneuver-Aware Pooling for Vehicle Trajectory PredictionCode1
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensityCode1
Dolphins: Multimodal Language Model for DrivingCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Lidar Panoptic Segmentation in an Open WorldCode1
Pedestrian 3D Bounding Box PredictionCode1
Dynamic 3D Scene Analysis by Point Cloud AccumulationCode1
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye ViewCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
M3TR: A Generalist Model for Real-World HD Map CompletionCode1
Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel DrivingCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven VehiclesCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Autonomous Racing using a Hybrid Imitation-Reinforcement Learning ArchitectureCode1
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
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Benchmark Results

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