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 2081–2090 of 2605 papers

TitleStatusHype
Reinforcement Learning Under Moral UncertaintyCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection—0
Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems—0
Sponge Examples: Energy-Latency Attacks on Neural NetworksCode1
MANTRA: Memory Augmented Networks for Multiple Trajectory PredictionCode1
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing—0
Reinforcement LearningCode0
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Benchmark Results

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