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 1031–1040 of 2605 papers

TitleStatusHype
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
LVLane: Deep Learning for Lane Detection and Classification in Challenging ConditionsCode1
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions—0
Estimating label quality and errors in semantic segmentation data via any model—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic SegmentationCode1
Autonomy 2.0: The Quest for Economies of Scale—0
Hypercongestion, autonomous vehicle, and urban spatial structure—0
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Benchmark Results

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