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 1561–1570 of 2605 papers

TitleStatusHype
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
PAC Prediction Sets for Meta-Learning—0
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithmCode0
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles—0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning—0
Keeping Less is More: Point Sparsification for Visual SLAM—0
Data generation using simulation technology to improve perception mechanism of autonomous vehicles—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
Learning Citywide Patterns of Life from Trajectory Monitoring—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
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Benchmark Results

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