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 226250 of 2605 papers

TitleStatusHype
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
Example-guided learning of stochastic human driving policies using deep reinforcement learningCode1
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
Explaining Autonomous Driving Actions with Visual Question AnsweringCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Extrapolated Urban View Synthesis BenchmarkCode1
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futuresCode1
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITSCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Graph Neural Networks in IoT: A SurveyCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
A reinforcement learning path planning approach for range-only underwater target localization with autonomous 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
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
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Benchmark Results

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