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 201–225 of 2605 papers

TitleStatusHype
Detection-segmentation convolutional neural network for autonomous vehicle perceptionCode1
Goal-driven Self-Attentive Recurrent Networks for Trajectory PredictionCode1
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle PlatooningCode1
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
Dolphins: Multimodal Language Model for DrivingCode1
BirdNet: a 3D Object Detection Framework from LiDAR informationCode1
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLACode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
End-to-end Lane Shape Prediction with TransformersCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
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Benchmark Results

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