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 271–280 of 2605 papers

TitleStatusHype
Open-World Panoptic Segmentation—0
CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception—0
Artificial Intelligence in Traffic Systems—0
PanSR: An Object-Centric Mask Transformer for Panoptic SegmentationCode0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Key Safety Design Overview in AI-driven Autonomous Vehicles—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
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Benchmark Results

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