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 226–250 of 2605 papers

TitleStatusHype
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles—0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision—0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs—0
Benchmarking Image Perturbations for Testing Automated Driving Assistance SystemsCode0
Assessing Markov Property in Driving Behaviors: Insights from Statistical Tests—0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
On the Benefits of Instance Decomposition in Video Prediction Models—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis—0
MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis—0
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand SystemsCode0
MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain—0
Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception—0
The global consensus on the risk management of autonomous driving—0
The Future of AI: Exploring the Potential of Large Concept Models—0
UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles—0
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation—0
Security by Design Issues in Autonomous Vehicles—0
The 2nd Place Solution from the 3D Semantic Segmentation Track in the 2024 Waymo Open Dataset Challenge—0
OpenLKA: an open dataset of lane keeping assist from market autonomous vehiclesCode1
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent DetectionCode0
Neural Error Covariance Estimation for Precise LiDAR Localization—0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey—0
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Benchmark Results

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