AID partners with Aeva on sensors for AVs

AID (Autonomous Intelligent Driving), a subsidiary of Audi, is installing Aeva’s 4D Lidar technology to its electric ‘e-tron’ test vehicles in Munich, Germany. AID is hoping the technology will help it bring autonomous vehicles (AV) to urban areas within the next years. Alexandre Haag, AID´s chief technology officer, says Aeva’s 4D Lidar technology was chosen for its “combination of long range, instantaneous velocity measurements at cm/s precision and robustness to interferences”. AID says Aeva’
May 1, 2019 Read time: 2 mins
AID (Autonomous Intelligent Driving), a subsidiary of Audi, is installing Aeva’s 4D Lidar technology to its electric ‘e-tron’ test vehicles in Munich, Germany.


AID is hoping the technology will help it bring autonomous vehicles (AV) to urban areas within the next years.

Alexandre Haag, AID´s chief technology officer, says Aeva’s 4D Lidar technology was chosen for its “combination of long range, instantaneous velocity measurements at cm/s precision and robustness to interferences”.

AID says Aeva’s sensing technology uses continuous low-power laser to sense instant velocity of every point per frame, at ranges up to 300m.

According to AID, this produces a 4D map of the environment where the instant velocity information improves the detection and classification of all critical objects such as pedestrians, bicycles and vehicles at distance.

Aeva’s technology is free from interference from other sensors or sunlight which improve AID’s proprietary perception capabilities and improve safety of AVs, AID adds.

%$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external Click here false https://www.youtube.com/watch?v=F4hEafmhUZ8&amp;feature=youtu.be false false%> to see the e-tron vehicle using Aeva’s 4D Lidar technology.

Related Content

  • July 24, 2019
    Self-driving bus collides with pedestrian in Vienna
    A self-driving bus trial in the Austrian capital Vienna has been halted after a collision between a vehicle and pedestrian, says Bloomberg. Authorities are now investing the cause of the incident which led to minor injuries. According to Bloomberg, state broadcaster ORF says the Navya vehicle was driving at 7.5 miles per hour when it hit the 30-year-old woman in the knee. In a statement given to The Verge, Navya said witnesses had seen the pedestrian wearing headphones and looking at a mobile phon
    Read More
  • December 14, 2018
    TfL describes reports of closer ties with Uber as ‘nonsense’
    Transport for London (TfL) has described claims that it is deepening its relationship with Uber as ‘nonsense’. Media reports suggested that London’s transit authority might be going to offer customers access to public transport services via the ride-hailing firm's app. The Financial Times reported that Uber is attempting to add TfL's data about tube and bus timetables into the app. But a spokesperson from TfL told ITS International that the only thing it is putting out is open data – and does no
    Read More
  • August 2, 2018
    UK government gets future mobility challenge underway
    The UK government has unveiled plans under its Future of Mobility Grand Challenge which could change how people, goods and services move around the country. These initiatives have been outlined in the Last Mile and Future of mobility call for evidence, which provide an insight into how technology could make transport safer, more accessible and greener. Under the plans, electric cargo bikes, vans, quadricycles and micro vehicles could replace vans in UK cities as part of a strategy to change last-mile
    Read More
  • October 15, 2019
    ITS Australia: National Awards 2019 nominees
    An autonomous Mobility as a Service pilot at a retirement village is among the nominees in ITS Australia’s National Awards 2019. Aurrigo is exploring how the technology will be used safely by elderly passengers in an environment where technical systems are not well understood. The Queensland Police Service’s forensic crash unit has also been nominated - for using drones to map crash scenes to help reduce road closure times and traffic congestion. In addition, Cooee Busways was chosen for using vehicl
    Read More

Highlighted Content