Self-Driving Cars

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

16 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 187 papers with code (514 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• End to End Learning for Self-Driving Cars
  25 Apr 2016 113 repositories listed Syntology ran 9 of 41 samples · 32 unverified · 9 pointer-only (licence)
  The system automatically learns internal representations of the necessary processing steps such as detecting useful road features with only the human steering angle as the training signal.
• Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
  29 Mar 2018 8 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)
  Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.
• Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
  25 Apr 2017 8 repositories listed
  This eliminates the need for human engineers to anticipate what is important in an image and foresee all the necessary rules for safe driving.
• OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
  3 Mar 2021 6 repositories listed
  We present a generic neural network architecture that uses Composite Fields to detect and construct a spatio-temporal pose which is a single, connected graph whose nodes are the semantic keypoints (e.
• Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
  31 Jul 2020 6 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Self-driving cars need to understand 3D scenes efficiently and accurately in order to drive safely.
• OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
  14 May 2020 6 repositories listed
  We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds.
• Editable Neural Networks
  1 Apr 2020 5 repositories listed Syntology ran 1 of 17 samples · 16 unverified · 1 pointer-only (licence)
  We empirically demonstrate the effectiveness of this method on large-scale image classification and machine translation tasks.
• SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
  2 Apr 2019 5 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  Despite the relevance of semantic scene understanding for this application, there is a lack of a large dataset for this task which is based on an automotive LiDAR.
• Fast Algorithms for Convolutional Neural Networks
  30 Sep 2015 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  The algorithms compute minimal complexity convolution over small tiles, which makes them fast with small filters and small batch sizes.
• Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
  21 Nov 2022 4 repositories listed
  Via BASAR, we find on-manifold adversarial samples are extremely deceitful and rather common in skeletal motions, in contrast to the common belief that adversarial samples only exist off-manifold.
• VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
  8 May 2020 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road components, including moving agents (e.
• It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
  4 Apr 2020 4 repositories listed
  In this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction.
• Scaling Out-of-Distribution Detection for Real-World Settings
  25 Nov 2019 4 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  We conduct extensive experiments in these more realistic settings for out-of-distribution detection and find that a surprisingly simple detector based on the maximum logit outperforms prior methods in all the…
• PointPainting: Sequential Fusion for 3D Object Detection
  22 Nov 2019 4 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Surprisingly, lidar-only methods outperform fusion methods on the main benchmark datasets, suggesting a gap in the literature.
• 3D Packing for Self-Supervised Monocular Depth Estimation
  6 May 2019 4 repositories listed
  Although cameras are ubiquitous, robotic platforms typically rely on active sensors like LiDAR for direct 3D perception.
• VisualBackProp: efficient visualization of CNNs
  16 Nov 2016 4 repositories listed
  We furthermore justify our approach with theoretical arguments and theoretically confirm that the proposed method identifies sets of input pixels, rather than individual pixels, that collaboratively contribute to the…
• Learning a Driving Simulator
  3 Aug 2016 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Comma.
• Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
  9 Jan 2020 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Reasoning about human motion is an important prerequisite to safe and socially-aware robotic navigation.
• MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
  14 Jun 2019 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  We tackle the fundamentally ill-posed problem of 3D human localization from monocular RGB images.
• Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
  2 Jan 2018 3 repositories listed
  This article presents the first comprehensive survey on adversarial attacks on deep learning in Computer Vision.
• On a Formal Model of Safe and Scalable Self-driving Cars
  21 Aug 2017 3 repositories listed
  In the second part we describe a design of a system that adheres to our safety assurance requirements and is scalable to millions of cars.
• DeepXplore: Automated Whitebox Testing of Deep Learning Systems
  18 May 2017 3 repositories listed
  First, we introduce neuron coverage for systematically measuring the parts of a DL system exercised by test inputs.
• Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning
  27 Dec 2023 2 repositories listed
  This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal control policy for self-driving cars.
• Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
  18 Nov 2023 2 repositories listed
  Simulation is a prospective method for generating diverse and realistic traffic scenarios to aid in the development of driving decision-making systems.
• DAD++: Improved Data-free Test Time Adversarial Defense
  10 Sep 2023 2 repositories listed
  With the increasing deployment of deep neural networks in safety-critical applications such as self-driving cars, medical imaging, anomaly detection, etc., adversarial robustness has become a crucial concern in the…
• Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability
  26 Jul 2022 2 repositories listed
  Semantic segmentation is a widely used perception method for self-driving cars that associates each pixel of an image with a predefined class.
• An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
  11 Mar 2022 2 repositories listed
  According to recent studies, the vulnerability of state-of-the-art Neural Networks to adversarial input samples has increased drastically.
• HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
  1 Jan 2022 2 repositories listed
  To tackle this challenge, we propose Hierarchical Vector Transformer (HiVT) for fast and accurate multi-agent motion prediction.
• KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
  28 Sep 2021 2 repositories listed Syntology ran 2 of 16 samples · 14 unverified
  For the last few decades, several major subfields of artificial intelligence including computer vision, graphics, and robotics have progressed largely independently from each other.
• OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
  2 Oct 2020 2 repositories listed
  Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it.

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.