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 621–630 of 2605 papers

TitleStatusHype
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity SimulationCode0
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—0
Optimization-based Heuristic for Vehicle Dynamic Coordination in Mixed Traffic Intersections—0
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Collaborative Perception Datasets in Autonomous Driving: A Survey—0
On-board classification of underwater images using hybrid classical-quantum CNN based method—0
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples—0
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles—0
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Benchmark Results

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