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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

This paper presents an approach to joint classification, detection and semantic segmentation using a unified architecture where the encoder is shared amongst the three tasks, and performs extremely well in the challenging KITTI dataset.
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RRT∗-Connect: Faster, asymptotically optimal motion planning

An efficient asymptotically-optimal randomized motion planning algorithm solving single-query path planning problems using a bidirectional search that will contribute to increase the performance of autonomous robots and vehicles due to the reduced motion planning time in complex environments.
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DeepTLR: A single deep convolutional network for detection and classification of traffic lights

DeepTLR, a camera-based system for real-time detection and classification of traffic lights, is proposed using a single deep convolutional network and is able to detect traffic lights on the whole camera image without any presegmentation.
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Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks

A spiking neural network which controls a vehicle end-to-end for lane following behavior is demonstrated and could be used to design more complex networks and use the evaluation metrics for learning.
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Traffic intersection situation description ontology for advanced driver assistance

The capabilities of the ontological situation description approach are shown at the example of complex intersections with several roads, lanes, vehicles and different combinations of traffic signs and traffic lights.
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Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions

A novel taxonomy is proposed to partition the problem of testing advanced driver assistance systems (ADAS) into three basic dimensions which permits the consideration of open research questions which have to be answered to pave the way for future highly automated driving.
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Driver head pose and gaze estimation based on multi-template ICP 3-D point cloud alignment

A multi-template, ICP-based gaze tracking system that determines the head pose and subsequently estimates the driver's line of gaze by analyzing the angles of the eyes, which shows real-time performance and high accuracy.
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Reactive posture behaviors for stable legged locomotion over steep inclines and large obstacles

This work presents a reactive control approach for the hexapod LAURONV, which enables it to overcome large obstacles and steep slopes without any knowledge about the environment.
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Making Bertha Cooperate–Team AnnieWAY’s Entry to the 2016 Grand Cooperative Driving Challenge

This paper presents a motion planner that plans different maneuvers flexibly by augmenting the cost function with situation specific cost terms and describes the requirements of the 2016 GCDC and evaluates the authors' performance during the competition.
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Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models

This work first functionally decomposed a real lidar sensor system used for object recognition, then the resulting sequence of processing blocks and interfaces is mapped onto simulation methods, enabling a quantitative comparison between simulated and real sensor data at different steps of the processing pipeline.
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