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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1275 of 2605 papers

TitleStatusHype
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
Towards Explainable Motion Prediction using Heterogeneous Graph RepresentationsCode1
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Efficient Adversarial Input Generation via Neural Net Patching—0
An Integrated Ride-Matching Model for Shared Mobility on Demand Services—0
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning—0
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map GenerationCode2
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand—0
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement—0
Far3Det: Towards Far-Field 3D Detection—0
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes—0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
CoPEM: Cooperative Perception Error Models for Autonomous Driving—0
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective—0
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance CamerasCode1
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range PerceptionCode1
Interpretable Self-Aware Neural Networks for Robust Trajectory PredictionCode1
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Benchmark Results

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